Common Weakness Enumeration

CWE-770

Allowed

Allocation of Resources Without Limits or Throttling

Abstraction: Base · Status: Incomplete

The product allocates a reusable resource or group of resources on behalf of an actor without imposing any intended restrictions on the size or number of resources that can be allocated.

3029 vulnerabilities reference this CWE, most recent first.

GHSA-HHWM-Q72Q-9MG9

Vulnerability from github – Published: 2026-01-07 12:31 – Updated: 2026-01-07 12:31
VLAI
Details

AuntyFey Smart Combination Lock firmware versions as of 2025-12-24 contain a vulnerability that allows an unauthenticated attacker within Bluetooth Low Energy (BLE) range to cause a denial of service by repeatedly initiating BLE connections. Sustained connection attempts interrupt keypad authentication input and repeatedly force the device into lockout states, preventing legitimate users from unlocking the device.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-15474"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-770"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-01-07T12:16:59Z",
    "severity": "MODERATE"
  },
  "details": "AuntyFey Smart Combination Lock firmware versions as of 2025-12-24 contain a vulnerability that allows an unauthenticated attacker within Bluetooth Low Energy (BLE) range to cause a denial of service by repeatedly initiating BLE connections. Sustained connection attempts interrupt keypad authentication input and repeatedly force the device into lockout states, preventing legitimate users from unlocking the device.",
  "id": "GHSA-hhwm-q72q-9mg9",
  "modified": "2026-01-07T12:31:23Z",
  "published": "2026-01-07T12:31:23Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-15474"
    },
    {
      "type": "WEB",
      "url": "https://github.com/nsm-barii/ble-smartlock-dos"
    },
    {
      "type": "WEB",
      "url": "https://www.amazon.com/dp/B0F9L1M4XG"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/auntyfey-smart-combination-lock-ble-connection-flood-dos"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}

GHSA-HJMQ-236J-8M87

Vulnerability from github – Published: 2020-09-25 18:28 – Updated: 2024-10-28 15:09
VLAI
Summary
Denial of service in tensorflow-lite
Details

Impact

In TensorFlow Lite models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. Since code uses the last element of the tensor holding them to determine the dimensionality of output tensor, attackers can use a very large value to trigger a large allocation: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/lite/kernels/segment_sum.cc#L39-L44

Patches

We have patched the issue in 204945b and will release patch releases for all affected versions.

We recommend users to upgrade to TensorFlow 2.2.1, or 2.3.1.

Workarounds

A potential workaround would be to add a custom Verifier to limit the maximum value in the segment ids tensor. This only handles the case when the segment ids are stored statically in the model, but a similar validation could be done if the segment ids are generated at runtime, between inference steps.

However, if the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been discovered from a variant analysis of GHSA-p2cq-cprg-frvm.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.2.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.3.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.2.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.3.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.2.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.3.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2020-15213"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-119",
      "CWE-770"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2020-09-25T18:22:48Z",
    "nvd_published_at": "2020-09-25T19:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nIn TensorFlow Lite models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. Since code uses the last element of the tensor holding them to determine the dimensionality of output tensor, attackers can use a very large value to trigger a large allocation:\nhttps://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/lite/kernels/segment_sum.cc#L39-L44\n\n### Patches\nWe have patched the issue in 204945b and will release patch releases for all affected versions.\n\nWe recommend users to upgrade to TensorFlow 2.2.1, or 2.3.1.\n\n### Workarounds\nA potential workaround would be to add a custom `Verifier` to limit the maximum value in the segment ids tensor. This only handles the case when the segment ids are stored statically in the model, but a similar validation could be done if the segment ids are generated at runtime, between inference steps.\n\nHowever, if the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n### Attribution\nThis vulnerability has been discovered from a variant analysis of [GHSA-p2cq-cprg-frvm](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p2cq-cprg-frvm).",
  "id": "GHSA-hjmq-236j-8m87",
  "modified": "2024-10-28T15:09:38Z",
  "published": "2020-09-25T18:28:53Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hjmq-236j-8m87"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-15213"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/00c7ed7ce81c2126ebc17dfe7073b5c0efd5ec0a"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/204945b19e44b57906c9344c0d00120eeeae178a"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/a4030d8ba3692c438997c27be2dd95f3d5f54827"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-293.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-328.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-136.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/lite/kernels/segment_sum.cc#L39-L44"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:N/I:N/A:L",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:L",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Denial of service in tensorflow-lite"
}

GHSA-HJR9-WJ7V-7HV8

Vulnerability from github – Published: 2026-01-05 19:43 – Updated: 2026-01-05 19:43
VLAI
Summary
Sliver Vulnerable to Pre-Auth Memory Exhaustion via NoEncoder Bypass
Details

Summary

A specially crafted nonce routes unauthenticated requests through the NoEncoder path, where startSessionHandler() reads the entire request body without limits, allowing attacker-driven memory exhaustion and process crash.

Details

  • server/encoders/encoders.go: EncoderFromNonce() returns NoEncoder when nonce % 65537 == 0 (lines 254-264); NoEncoder is a passthrough (util/encoders/nop.go:22-32).
  • server/c2/http.go: anonymousHandler() routes requests with any encoder (including NoEncoder) to startSessionHandler() (lines 551-562).
  • server/c2/http.go: startSessionHandler() uses io.ReadAll(req.Body) without a size cap (lines 564-643), unlike the authenticated path that uses io.LimitedReader (readReqBody(), lines 708-732).

PoC

An attacker could send an HTTP POST with a nonce that is a multiple of 65537 (e.g., ?q=65537) so it is handled by startSessionHandler() with a NoEncoder, and advertise a very large Content-Length while streaming data. Because this handler uses io.ReadAll(req.Body) without a size limit, the server is expected to allocate large amounts of memory and may exhaust available RAM, leading to process termination on typical deployments.

Impact

Unauthenticated remote DoS: attacker can crash the Sliver HTTP listener, dropping all active sessions and locking out operators until restart. No credentials or non-default config required.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/bishopfox/sliver"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "1.5.0"
            },
            {
              "last_affected": "1.5.44"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [],
  "database_specific": {
    "cwe_ids": [
      "CWE-770"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-01-05T19:43:06Z",
    "nvd_published_at": null,
    "severity": "MODERATE"
  },
  "details": "### Summary\nA specially crafted nonce routes unauthenticated requests through the NoEncoder path, where `startSessionHandler()` reads the entire request body without limits, allowing attacker-driven memory exhaustion and process crash.\n\n### Details\n- `server/encoders/encoders.go`: `EncoderFromNonce()` returns NoEncoder when `nonce % 65537 == 0` (lines 254-264); NoEncoder is a passthrough (`util/encoders/nop.go:22-32`).\n- `server/c2/http.go`: `anonymousHandler()` routes requests with any encoder (including NoEncoder) to `startSessionHandler()` (lines 551-562).\n- `server/c2/http.go`: `startSessionHandler()` uses `io.ReadAll(req.Body)` without a size cap (lines 564-643), unlike the authenticated path that uses `io.LimitedReader` (`readReqBody()`, lines 708-732).\n\n### PoC\nAn attacker could send an HTTP POST with a nonce that is a multiple of 65537 (e.g., ?q=65537) so it is handled by startSessionHandler() with a NoEncoder, and advertise a very large Content-Length while streaming data. Because this handler uses io.ReadAll(req.Body) without a size limit, the server is expected to allocate large amounts of memory and may exhaust available RAM, leading to process termination on typical deployments.\n\n### Impact\nUnauthenticated remote DoS: attacker can crash the Sliver HTTP listener, dropping all active sessions and locking out operators until restart. No credentials or non-default config required.",
  "id": "GHSA-hjr9-wj7v-7hv8",
  "modified": "2026-01-05T19:43:06Z",
  "published": "2026-01-05T19:43:06Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/BishopFox/sliver/security/advisories/GHSA-hjr9-wj7v-7hv8"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/BishopFox/sliver"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:P",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Sliver Vulnerable to Pre-Auth Memory Exhaustion via NoEncoder Bypass"
}

GHSA-HJX5-V9XG-7H25

Vulnerability from github – Published: 2024-05-30 15:36 – Updated: 2024-05-30 15:36
VLAI
Summary
TYPO3 Denial of Service in Frontend Record Registration
Details

TYPO3’s built-in record registration functionality (aka “basic shopping cart”) using recs URL parameters is vulnerable to denial of service. Failing to properly ensure that anonymous user sessions are valid, attackers can use this vulnerability in order to create an arbitrary amount of individual session-data records in the database.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "Packagist",
        "name": "typo3/cms-core"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "8.0.0"
            },
            {
              "fixed": "8.7.21"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "Packagist",
        "name": "typo3/cms-core"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "7.0.0"
            },
            {
              "fixed": "7.6.32"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [],
  "database_specific": {
    "cwe_ids": [
      "CWE-770"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2024-05-30T15:36:27Z",
    "nvd_published_at": null,
    "severity": "HIGH"
  },
  "details": "TYPO3\u2019s built-in record registration functionality (aka \u201cbasic shopping cart\u201d) using recs URL parameters is vulnerable to denial of service. Failing to properly ensure that anonymous user sessions are valid, attackers can use this vulnerability in order to create  an arbitrary amount of individual session-data records in the database.\n\n",
  "id": "GHSA-hjx5-v9xg-7h25",
  "modified": "2024-05-30T15:36:27Z",
  "published": "2024-05-30T15:36:27Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/TYPO3-CMS/core/commit/5a44f93e9233e8f72159f9a67db26ed4bd5a10e0"
    },
    {
      "type": "WEB",
      "url": "https://github.com/FriendsOfPHP/security-advisories/blob/master/typo3/cms-core/2018-12-11-7.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/TYPO3-CMS/core"
    },
    {
      "type": "WEB",
      "url": "https://typo3.org/security/advisory/typo3-core-sa-2018-012"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "TYPO3 Denial of Service in Frontend Record Registration"
}

GHSA-HJX7-FPXX-MJ48

Vulnerability from github – Published: 2025-10-30 00:31 – Updated: 2025-11-05 00:31
VLAI
Details

The processing time for parsing some invalid inputs scales non-linearly with respect to the size of the input. This affects programs which parse untrusted PEM inputs.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-61723"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-770"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-10-29T23:16:19Z",
    "severity": "MODERATE"
  },
  "details": "The processing time for parsing some invalid inputs scales non-linearly with respect to the size of the input. This affects programs which parse untrusted PEM inputs.",
  "id": "GHSA-hjx7-fpxx-mj48",
  "modified": "2025-11-05T00:31:31Z",
  "published": "2025-10-30T00:31:03Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-61723"
    },
    {
      "type": "WEB",
      "url": "https://go.dev/cl/709858"
    },
    {
      "type": "WEB",
      "url": "https://go.dev/issue/75676"
    },
    {
      "type": "WEB",
      "url": "https://groups.google.com/g/golang-announce/c/4Emdl2iQ_bI"
    },
    {
      "type": "WEB",
      "url": "https://pkg.go.dev/vuln/GO-2025-4009"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2025/10/08/1"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-HM3H-QVM3-R8QV

Vulnerability from github – Published: 2022-08-11 00:00 – Updated: 2026-04-14 09:30
VLAI
Details

A vulnerability has been identified in SCALANCE M-800 / S615 (All versions), SCALANCE W-1700 IEEE 802.11ac family (All versions), SCALANCE W-700 IEEE 802.11ax family (All versions), SCALANCE W-700 IEEE 802.11n family (All versions), SCALANCE XB-200 switch family (All versions), SCALANCE XC-200 switch family (All versions), SCALANCE XF-200BA switch family (All versions), SCALANCE XM-400 Family (All versions), SCALANCE XP-200 switch family (All versions), SCALANCE XR-300WG switch family (All versions), SCALANCE XR-500 Family (All versions). Affected devices do not properly handle the renegotiation of SSL/TLS parameters. This could allow an unauthenticated remote attacker to bypass the TCP brute force prevention and lead to a denial of service condition for the duration of the attack.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-36324"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-770"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-08-10T12:15:00Z",
    "severity": "HIGH"
  },
  "details": "A vulnerability has been identified in SCALANCE M-800 / S615 (All versions), SCALANCE W-1700 IEEE 802.11ac family (All versions), SCALANCE W-700 IEEE 802.11ax family (All versions), SCALANCE W-700 IEEE 802.11n family (All versions), SCALANCE XB-200 switch family (All versions), SCALANCE XC-200 switch family (All versions), SCALANCE XF-200BA switch family (All versions), SCALANCE XM-400 Family (All versions), SCALANCE XP-200 switch family (All versions), SCALANCE XR-300WG switch family (All versions), SCALANCE XR-500 Family (All versions). Affected devices do not properly handle the renegotiation of SSL/TLS parameters. This could allow an unauthenticated remote attacker to bypass the TCP brute force prevention and lead to a denial of service condition for the duration of the attack.",
  "id": "GHSA-hm3h-qvm3-r8qv",
  "modified": "2026-04-14T09:30:41Z",
  "published": "2022-08-11T00:00:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-36324"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-019200.html"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-710008.html"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/pdf/ssa-710008.pdf"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-HM85-CQWX-6V52

Vulnerability from github – Published: 2024-05-01 06:31 – Updated: 2026-05-12 12:31
VLAI
Details

In the Linux kernel, the following vulnerability has been resolved:

tun: limit printing rate when illegal packet received by tun dev

vhost_worker will call tun call backs to receive packets. If too many illegal packets arrives, tun_do_read will keep dumping packet contents. When console is enabled, it will costs much more cpu time to dump packet and soft lockup will be detected.

net_ratelimit mechanism can be used to limit the dumping rate.

PID: 33036 TASK: ffff949da6f20000 CPU: 23 COMMAND: "vhost-32980" #0 [fffffe00003fce50] crash_nmi_callback at ffffffff89249253 #1 [fffffe00003fce58] nmi_handle at ffffffff89225fa3 #2 [fffffe00003fceb0] default_do_nmi at ffffffff8922642e #3 [fffffe00003fced0] do_nmi at ffffffff8922660d #4 [fffffe00003fcef0] end_repeat_nmi at ffffffff89c01663 [exception RIP: io_serial_in+20] RIP: ffffffff89792594 RSP: ffffa655314979e8 RFLAGS: 00000002 RAX: ffffffff89792500 RBX: ffffffff8af428a0 RCX: 0000000000000000 RDX: 00000000000003fd RSI: 0000000000000005 RDI: ffffffff8af428a0 RBP: 0000000000002710 R8: 0000000000000004 R9: 000000000000000f R10: 0000000000000000 R11: ffffffff8acbf64f R12: 0000000000000020 R13: ffffffff8acbf698 R14: 0000000000000058 R15: 0000000000000000 ORIG_RAX: ffffffffffffffff CS: 0010 SS: 0018 #5 [ffffa655314979e8] io_serial_in at ffffffff89792594 #6 [ffffa655314979e8] wait_for_xmitr at ffffffff89793470 #7 [ffffa65531497a08] serial8250_console_putchar at ffffffff897934f6 #8 [ffffa65531497a20] uart_console_write at ffffffff8978b605 #9 [ffffa65531497a48] serial8250_console_write at ffffffff89796558 #10 [ffffa65531497ac8] console_unlock at ffffffff89316124 #11 [ffffa65531497b10] vprintk_emit at ffffffff89317c07 #12 [ffffa65531497b68] printk at ffffffff89318306 #13 [ffffa65531497bc8] print_hex_dump at ffffffff89650765 #14 [ffffa65531497ca8] tun_do_read at ffffffffc0b06c27 [tun] #15 [ffffa65531497d38] tun_recvmsg at ffffffffc0b06e34 [tun] #16 [ffffa65531497d68] handle_rx at ffffffffc0c5d682 [vhost_net] #17 [ffffa65531497ed0] vhost_worker at ffffffffc0c644dc [vhost] #18 [ffffa65531497f10] kthread at ffffffff892d2e72 #19 [ffffa65531497f50] ret_from_fork at ffffffff89c0022f

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-27013"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-770"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-05-01T06:15:19Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ntun: limit printing rate when illegal packet received by tun dev\n\nvhost_worker will call tun call backs to receive packets. If too many\nillegal packets arrives, tun_do_read will keep dumping packet contents.\nWhen console is enabled, it will costs much more cpu time to dump\npacket and soft lockup will be detected.\n\nnet_ratelimit mechanism can be used to limit the dumping rate.\n\nPID: 33036    TASK: ffff949da6f20000  CPU: 23   COMMAND: \"vhost-32980\"\n #0 [fffffe00003fce50] crash_nmi_callback at ffffffff89249253\n #1 [fffffe00003fce58] nmi_handle at ffffffff89225fa3\n #2 [fffffe00003fceb0] default_do_nmi at ffffffff8922642e\n #3 [fffffe00003fced0] do_nmi at ffffffff8922660d\n #4 [fffffe00003fcef0] end_repeat_nmi at ffffffff89c01663\n    [exception RIP: io_serial_in+20]\n    RIP: ffffffff89792594  RSP: ffffa655314979e8  RFLAGS: 00000002\n    RAX: ffffffff89792500  RBX: ffffffff8af428a0  RCX: 0000000000000000\n    RDX: 00000000000003fd  RSI: 0000000000000005  RDI: ffffffff8af428a0\n    RBP: 0000000000002710   R8: 0000000000000004   R9: 000000000000000f\n    R10: 0000000000000000  R11: ffffffff8acbf64f  R12: 0000000000000020\n    R13: ffffffff8acbf698  R14: 0000000000000058  R15: 0000000000000000\n    ORIG_RAX: ffffffffffffffff  CS: 0010  SS: 0018\n #5 [ffffa655314979e8] io_serial_in at ffffffff89792594\n #6 [ffffa655314979e8] wait_for_xmitr at ffffffff89793470\n #7 [ffffa65531497a08] serial8250_console_putchar at ffffffff897934f6\n #8 [ffffa65531497a20] uart_console_write at ffffffff8978b605\n #9 [ffffa65531497a48] serial8250_console_write at ffffffff89796558\n #10 [ffffa65531497ac8] console_unlock at ffffffff89316124\n #11 [ffffa65531497b10] vprintk_emit at ffffffff89317c07\n #12 [ffffa65531497b68] printk at ffffffff89318306\n #13 [ffffa65531497bc8] print_hex_dump at ffffffff89650765\n #14 [ffffa65531497ca8] tun_do_read at ffffffffc0b06c27 [tun]\n #15 [ffffa65531497d38] tun_recvmsg at ffffffffc0b06e34 [tun]\n #16 [ffffa65531497d68] handle_rx at ffffffffc0c5d682 [vhost_net]\n #17 [ffffa65531497ed0] vhost_worker at ffffffffc0c644dc [vhost]\n #18 [ffffa65531497f10] kthread at ffffffff892d2e72\n #19 [ffffa65531497f50] ret_from_fork at ffffffff89c0022f",
  "id": "GHSA-hm85-cqwx-6v52",
  "modified": "2026-05-12T12:31:44Z",
  "published": "2024-05-01T06:31:43Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-27013"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-265688.html"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-613116.html"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/14cdb43dbc827e18ac7d5b30c5b4c676219f1421"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/40f4ced305c6c47487d3cd8da54676e2acc1a6ad"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/4b0dcae5c4797bf31c63011ed62917210d3fdac3"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/52854101180beccdb9dc2077a3bea31b6ad48dfa"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/62e27ef18eb4f0d33bbae8e9ef56b99696a74713"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/68459b8e3ee554ce71878af9eb69659b9462c588"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a50dbeca28acf7051dfa92786b85f704c75db6eb"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/f8bbc07ac535593139c875ffa19af924b1084540"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2024/06/msg00017.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2024/06/msg00020.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/4EZ6PJW7VOZ224TD7N4JZNU6KV32ZJ53"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/DAMSOZXJEPUOXW33WZYWCVAY7Z5S7OOY"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/GCBZZEC7L7KTWWAS2NLJK6SO3IZIL4WW"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-HMV9-9GM3-C2VC

Vulnerability from github – Published: 2022-05-13 01:17 – Updated: 2022-05-13 01:17
VLAI
Details

A vulnerability in the cryptographic hardware accelerator driver of Cisco Adaptive Security Appliance (ASA) Software and Cisco Firepower Threat Defense (FTD) Software could allow an unauthenticated, remote attacker to cause an affected device to reload, resulting in a temporary denial of service (DoS) condition. The vulnerability exists because the affected devices have a limited amount of Direct Memory Access (DMA) memory and the affected software improperly handles resources in low-memory conditions. An attacker could exploit this vulnerability by sending a sustained, high rate of malicious traffic to an affected device to exhaust memory on the device. A successful exploit could allow the attacker to exhaust DMA memory on the affected device, which could cause the device to reload and result in a temporary DoS condition.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-15383"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400",
      "CWE-770"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-10-05T14:29:00Z",
    "severity": "HIGH"
  },
  "details": "A vulnerability in the cryptographic hardware accelerator driver of Cisco Adaptive Security Appliance (ASA) Software and Cisco Firepower Threat Defense (FTD) Software could allow an unauthenticated, remote attacker to cause an affected device to reload, resulting in a temporary denial of service (DoS) condition. The vulnerability exists because the affected devices have a limited amount of Direct Memory Access (DMA) memory and the affected software improperly handles resources in low-memory conditions. An attacker could exploit this vulnerability by sending a sustained, high rate of malicious traffic to an affected device to exhaust memory on the device. A successful exploit could allow the attacker to exhaust DMA memory on the affected device, which could cause the device to reload and result in a temporary DoS condition.",
  "id": "GHSA-hmv9-9gm3-c2vc",
  "modified": "2022-05-13T01:17:46Z",
  "published": "2022-05-13T01:17:46Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-15383"
    },
    {
      "type": "WEB",
      "url": "https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20181003-asa-dma-dos"
    },
    {
      "type": "WEB",
      "url": "http://www.securitytracker.com/id/1041787"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-HP5C-942M-J9X8

Vulnerability from github – Published: 2023-06-22 21:30 – Updated: 2024-04-04 05:01
VLAI
Details

An issue in the /userRpm/LocalManageControlRpm component of TP-Link TL-WR940N V2/V4/V6, TL-WR841N V8/V10, and TL-WR941ND V5 allows attackers to cause a Denial of Service (DoS) via a crafted GET request.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-36357"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-770"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-06-22T20:15:09Z",
    "severity": "HIGH"
  },
  "details": "An issue in the /userRpm/LocalManageControlRpm component of TP-Link TL-WR940N V2/V4/V6, TL-WR841N V8/V10, and TL-WR941ND V5 allows attackers to cause a Denial of Service (DoS) via a crafted GET request.",
  "id": "GHSA-hp5c-942m-j9x8",
  "modified": "2024-04-04T05:01:46Z",
  "published": "2023-06-22T21:30:49Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-36357"
    },
    {
      "type": "WEB",
      "url": "https://github.com/a101e-IoTvul/iotvul/blob/main/tp-link/5/TL-WR941ND_TL-WR940N_TL-WR841N_userRpm_LocalManageControlRpm.md"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-HPP2-2CR5-PF6G

Vulnerability from github – Published: 2023-02-14 21:49 – Updated: 2023-02-14 21:49
VLAI
Summary
Denial of service due to unlimited number of parts
Details

Impact

  • The multipart body parser accepts an unlimited number of file parts.
  • The multipart body parser accepts an unlimited number of field parts.
  • The multipart body parser accepts an unlimited number of empty parts as field parts.

Patches

This is fixed in v7.4.1 (for Fastify v4.x) and v6.0.1 (for Fastify v3.x).

Workarounds

There are no known workaround.

References

Reported at https://hackerone.com/reports/1816195.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "npm",
        "name": "@fastify/multipart"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "6.0.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "npm",
        "name": "@fastify/multipart"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "7.0.0"
            },
            {
              "fixed": "7.4.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2023-25576"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400",
      "CWE-770"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2023-02-14T21:49:55Z",
    "nvd_published_at": "2023-02-14T16:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact\n\n* The multipart body parser accepts an unlimited number of file parts.\n* The multipart body parser accepts an unlimited number of field parts.\n* The multipart body parser accepts an unlimited number of empty parts as field\nparts.\n\n\n### Patches\n\nThis is fixed in v7.4.1 (for Fastify v4.x) and v6.0.1 (for Fastify v3.x).\n\n### Workarounds\n\nThere are no known workaround.  \n\n### References\n\nReported at https://hackerone.com/reports/1816195.",
  "id": "GHSA-hpp2-2cr5-pf6g",
  "modified": "2023-02-14T21:49:55Z",
  "published": "2023-02-14T21:49:55Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/fastify/fastify-multipart/security/advisories/GHSA-hpp2-2cr5-pf6g"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-25576"
    },
    {
      "type": "WEB",
      "url": "https://github.com/fastify/fastify-multipart/commit/85be81bedf5b29cfd9fe3efc30fb5a17173c1297"
    },
    {
      "type": "WEB",
      "url": "https://hackerone.com/reports/1816195"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/fastify/fastify-multipart"
    },
    {
      "type": "WEB",
      "url": "https://github.com/fastify/fastify-multipart/releases/tag/v6.0.1"
    },
    {
      "type": "WEB",
      "url": "https://github.com/fastify/fastify-multipart/releases/tag/v7.4.1"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Denial of service due to unlimited number of parts"
}

Mitigation
Requirements

Clearly specify the minimum and maximum expectations for capabilities, and dictate which behaviors are acceptable when resource allocation reaches limits.

Mitigation
Architecture and Design

Limit the amount of resources that are accessible to unprivileged users. Set per-user limits for resources. Allow the system administrator to define these limits. Be careful to avoid CWE-410.

Mitigation
Architecture and Design

Design throttling mechanisms into the system architecture. The best protection is to limit the amount of resources that an unauthorized user can cause to be expended. A strong authentication and access control model will help prevent such attacks from occurring in the first place, and it will help the administrator to identify who is committing the abuse. The login application should be protected against DoS attacks as much as possible. Limiting the database access, perhaps by caching result sets, can help minimize the resources expended. To further limit the potential for a DoS attack, consider tracking the rate of requests received from users and blocking requests that exceed a defined rate threshold.

Mitigation MIT-5
Implementation

Strategy: Input Validation

  • Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
  • When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."
  • Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
Mitigation MIT-15
Architecture and Design

For any security checks that are performed on the client side, ensure that these checks are duplicated on the server side, in order to avoid CWE-602. Attackers can bypass the client-side checks by modifying values after the checks have been performed, or by changing the client to remove the client-side checks entirely. Then, these modified values would be submitted to the server.

Mitigation
Architecture and Design
  • Mitigation of resource exhaustion attacks requires that the target system either:
  • The first of these solutions is an issue in itself though, since it may allow attackers to prevent the use of the system by a particular valid user. If the attacker impersonates the valid user, they may be able to prevent the user from accessing the server in question.
  • The second solution can be difficult to effectively institute -- and even when properly done, it does not provide a full solution. It simply requires more resources on the part of the attacker.
  • recognizes the attack and denies that user further access for a given amount of time, typically by using increasing time delays
  • uniformly throttles all requests in order to make it more difficult to consume resources more quickly than they can again be freed.
Mitigation
Architecture and Design

Ensure that protocols have specific limits of scale placed on them.

Mitigation MIT-38.1
Architecture and Design Implementation
  • If the program must fail, ensure that it fails gracefully (fails closed). There may be a temptation to simply let the program fail poorly in cases such as low memory conditions, but an attacker may be able to assert control before the software has fully exited. Alternately, an uncontrolled failure could cause cascading problems with other downstream components; for example, the program could send a signal to a downstream process so the process immediately knows that a problem has occurred and has a better chance of recovery.
  • Ensure that all failures in resource allocation place the system into a safe posture.
Mitigation MIT-47
Operation Architecture and Design

Strategy: Resource Limitation

  • Use quotas or other resource-limiting settings provided by the operating system or environment. For example, when managing system resources in POSIX, setrlimit() can be used to set limits for certain types of resources, and getrlimit() can determine how many resources are available. However, these functions are not available on all operating systems.
  • When the current levels get close to the maximum that is defined for the application (see CWE-770), then limit the allocation of further resources to privileged users; alternately, begin releasing resources for less-privileged users. While this mitigation may protect the system from attack, it will not necessarily stop attackers from adversely impacting other users.
  • Ensure that the application performs the appropriate error checks and error handling in case resources become unavailable (CWE-703).
CAPEC-125: Flooding

An adversary consumes the resources of a target by rapidly engaging in a large number of interactions with the target. This type of attack generally exposes a weakness in rate limiting or flow. When successful this attack prevents legitimate users from accessing the service and can cause the target to crash. This attack differs from resource depletion through leaks or allocations in that the latter attacks do not rely on the volume of requests made to the target but instead focus on manipulation of the target's operations. The key factor in a flooding attack is the number of requests the adversary can make in a given period of time. The greater this number, the more likely an attack is to succeed against a given target.

CAPEC-130: Excessive Allocation

An adversary causes the target to allocate excessive resources to servicing the attackers' request, thereby reducing the resources available for legitimate services and degrading or denying services. Usually, this attack focuses on memory allocation, but any finite resource on the target could be the attacked, including bandwidth, processing cycles, or other resources. This attack does not attempt to force this allocation through a large number of requests (that would be Resource Depletion through Flooding) but instead uses one or a small number of requests that are carefully formatted to force the target to allocate excessive resources to service this request(s). Often this attack takes advantage of a bug in the target to cause the target to allocate resources vastly beyond what would be needed for a normal request.

CAPEC-147: XML Ping of the Death

An attacker initiates a resource depletion attack where a large number of small XML messages are delivered at a sufficiently rapid rate to cause a denial of service or crash of the target. Transactions such as repetitive SOAP transactions can deplete resources faster than a simple flooding attack because of the additional resources used by the SOAP protocol and the resources necessary to process SOAP messages. The transactions used are immaterial as long as they cause resource utilization on the target. In other words, this is a normal flooding attack augmented by using messages that will require extra processing on the target.

CAPEC-197: Exponential Data Expansion

An adversary submits data to a target application which contains nested exponential data expansion to produce excessively large output. Many data format languages allow the definition of macro-like structures that can be used to simplify the creation of complex structures. However, this capability can be abused to create excessive demands on a processor's CPU and memory. A small number of nested expansions can result in an exponential growth in demands on memory.

CAPEC-229: Serialized Data Parameter Blowup

This attack exploits certain serialized data parsers (e.g., XML, YAML, etc.) which manage data in an inefficient manner. The attacker crafts an serialized data file with multiple configuration parameters in the same dataset. In a vulnerable parser, this results in a denial of service condition where CPU resources are exhausted because of the parsing algorithm. The weakness being exploited is tied to parser implementation and not language specific.

CAPEC-230: Serialized Data with Nested Payloads

Applications often need to transform data in and out of a data format (e.g., XML and YAML) by using a parser. It may be possible for an adversary to inject data that may have an adverse effect on the parser when it is being processed. Many data format languages allow the definition of macro-like structures that can be used to simplify the creation of complex structures. By nesting these structures, causing the data to be repeatedly substituted, an adversary can cause the parser to consume more resources while processing, causing excessive memory consumption and CPU utilization.

CAPEC-231: Oversized Serialized Data Payloads

An adversary injects oversized serialized data payloads into a parser during data processing to produce adverse effects upon the parser such as exhausting system resources and arbitrary code execution.

CAPEC-469: HTTP DoS

An attacker performs flooding at the HTTP level to bring down only a particular web application rather than anything listening on a TCP/IP connection. This denial of service attack requires substantially fewer packets to be sent which makes DoS harder to detect. This is an equivalent of SYN flood in HTTP. The idea is to keep the HTTP session alive indefinitely and then repeat that hundreds of times. This attack targets resource depletion weaknesses in web server software. The web server will wait to attacker's responses on the initiated HTTP sessions while the connection threads are being exhausted.

CAPEC-482: TCP Flood

An adversary may execute a flooding attack using the TCP protocol with the intent to deny legitimate users access to a service. These attacks exploit the weakness within the TCP protocol where there is some state information for the connection the server needs to maintain. This often involves the use of TCP SYN messages.

CAPEC-486: UDP Flood

An adversary may execute a flooding attack using the UDP protocol with the intent to deny legitimate users access to a service by consuming the available network bandwidth. Additionally, firewalls often open a port for each UDP connection destined for a service with an open UDP port, meaning the firewalls in essence save the connection state thus the high packet nature of a UDP flood can also overwhelm resources allocated to the firewall. UDP attacks can also target services like DNS or VoIP which utilize these protocols. Additionally, due to the session-less nature of the UDP protocol, the source of a packet is easily spoofed making it difficult to find the source of the attack.

CAPEC-487: ICMP Flood

An adversary may execute a flooding attack using the ICMP protocol with the intent to deny legitimate users access to a service by consuming the available network bandwidth. A typical attack involves a victim server receiving ICMP packets at a high rate from a wide range of source addresses. Additionally, due to the session-less nature of the ICMP protocol, the source of a packet is easily spoofed making it difficult to find the source of the attack.

CAPEC-488: HTTP Flood

An adversary may execute a flooding attack using the HTTP protocol with the intent to deny legitimate users access to a service by consuming resources at the application layer such as web services and their infrastructure. These attacks use legitimate session-based HTTP GET requests designed to consume large amounts of a server's resources. Since these are legitimate sessions this attack is very difficult to detect.

CAPEC-489: SSL Flood

An adversary may execute a flooding attack using the SSL protocol with the intent to deny legitimate users access to a service by consuming all the available resources on the server side. These attacks take advantage of the asymmetric relationship between the processing power used by the client and the processing power used by the server to create a secure connection. In this manner the attacker can make a large number of HTTPS requests on a low provisioned machine to tie up a disproportionately large number of resources on the server. The clients then continue to keep renegotiating the SSL connection. When multiplied by a large number of attacking machines, this attack can result in a crash or loss of service to legitimate users.

CAPEC-490: Amplification

An adversary may execute an amplification where the size of a response is far greater than that of the request that generates it. The goal of this attack is to use a relatively few resources to create a large amount of traffic against a target server. To execute this attack, an adversary send a request to a 3rd party service, spoofing the source address to be that of the target server. The larger response that is generated by the 3rd party service is then sent to the target server. By sending a large number of initial requests, the adversary can generate a tremendous amount of traffic directed at the target. The greater the discrepancy in size between the initial request and the final payload delivered to the target increased the effectiveness of this attack.

CAPEC-491: Quadratic Data Expansion

An adversary exploits macro-like substitution to cause a denial of service situation due to excessive memory being allocated to fully expand the data. The result of this denial of service could cause the application to freeze or crash. This involves defining a very large entity and using it multiple times in a single entity substitution. CAPEC-197 is a similar attack pattern, but it is easier to discover and defend against. This attack pattern does not perform multi-level substitution and therefore does not obviously appear to consume extensive resources.

CAPEC-493: SOAP Array Blowup

An adversary may execute an attack on a web service that uses SOAP messages in communication. By sending a very large SOAP array declaration to the web service, the attacker forces the web service to allocate space for the array elements before they are parsed by the XML parser. The attacker message is typically small in size containing a large array declaration of say 1,000,000 elements and a couple of array elements. This attack targets exhaustion of the memory resources of the web service.

CAPEC-494: TCP Fragmentation

An adversary may execute a TCP Fragmentation attack against a target with the intention of avoiding filtering rules of network controls, by attempting to fragment the TCP packet such that the headers flag field is pushed into the second fragment which typically is not filtered.

CAPEC-495: UDP Fragmentation

An attacker may execute a UDP Fragmentation attack against a target server in an attempt to consume resources such as bandwidth and CPU. IP fragmentation occurs when an IP datagram is larger than the MTU of the route the datagram has to traverse. Typically the attacker will use large UDP packets over 1500 bytes of data which forces fragmentation as ethernet MTU is 1500 bytes. This attack is a variation on a typical UDP flood but it enables more network bandwidth to be consumed with fewer packets. Additionally it has the potential to consume server CPU resources and fill memory buffers associated with the processing and reassembling of fragmented packets.

CAPEC-496: ICMP Fragmentation

An attacker may execute a ICMP Fragmentation attack against a target with the intention of consuming resources or causing a crash. The attacker crafts a large number of identical fragmented IP packets containing a portion of a fragmented ICMP message. The attacker these sends these messages to a target host which causes the host to become non-responsive. Another vector may be sending a fragmented ICMP message to a target host with incorrect sizes in the header which causes the host to hang.

CAPEC-528: XML Flood

An adversary may execute a flooding attack using XML messages with the intent to deny legitimate users access to a web service. These attacks are accomplished by sending a large number of XML based requests and letting the service attempt to parse each one. In many cases this type of an attack will result in a XML Denial of Service (XDoS) due to an application becoming unstable, freezing, or crashing.