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.

6465 vulnerabilities reference this CWE, most recent first.

GHSA-C5C5-RWC6-67M5

Vulnerability from github – Published: 2023-01-26 21:30 – Updated: 2023-02-03 21:30
VLAI
Details

For certain systems running EOS, a Precision Time Protocol (PTP) packet of a management/signaling message with an invalid Type-Length-Value (TLV) causes the PTP agent to restart. Repeated restarts of the service will make the service unavailable.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-28510"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-1284",
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-01-26T21:15:00Z",
    "severity": "HIGH"
  },
  "details": "For certain systems running EOS, a Precision Time Protocol (PTP) packet of a management/signaling message with an invalid Type-Length-Value (TLV) causes the PTP agent to restart. Repeated restarts of the service will make the service unavailable.",
  "id": "GHSA-c5c5-rwc6-67m5",
  "modified": "2023-02-03T21:30:29Z",
  "published": "2023-01-26T21:30:29Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-28510"
    },
    {
      "type": "WEB",
      "url": "https://www.arista.com/en/support/advisories-notices/security-advisory/15439-security-advisory-0076"
    }
  ],
  "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-C5HM-56X3-6335

Vulnerability from github – Published: 2026-07-15 00:31 – Updated: 2026-07-15 00:31
VLAI
Details

CAI Content Credentials is affected by an Uncontrolled Resource Consumption vulnerability that could lead to application denial-of-service. An attacker could exploit this vulnerability to exhaust system resources, resulting in an application denial-of-service condition. Exploitation of this issue does not require user interaction.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-48357"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-14T22:17:02Z",
    "severity": "MODERATE"
  },
  "details": "CAI Content Credentials is affected by an Uncontrolled Resource Consumption vulnerability that could lead to application denial-of-service. An attacker could exploit this vulnerability to exhaust system resources, resulting in an application denial-of-service condition. Exploitation of this issue does not require user interaction.",
  "id": "GHSA-c5hm-56x3-6335",
  "modified": "2026-07-15T00:31:42Z",
  "published": "2026-07-15T00:31:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-48357"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/content-authenticity-sdk/apsb26-80.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-C5VH-F4MR-VCQW

Vulnerability from github – Published: 2026-05-11 21:31 – Updated: 2026-05-12 21:31
VLAI
Details

A resource exhaustion issue was addressed with improved input validation. This issue is fixed in iOS 18.7.9 and iPadOS 18.7.9, iOS 26.4 and iPadOS 26.4. A remote attacker may be able to cause a denial-of-service.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-28872"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-05-11T21:18:51Z",
    "severity": "HIGH"
  },
  "details": "A resource exhaustion issue was addressed with improved input validation. This issue is fixed in iOS 18.7.9 and iPadOS 18.7.9, iOS 26.4 and iPadOS 26.4. A remote attacker may be able to cause a denial-of-service.",
  "id": "GHSA-c5vh-f4mr-vcqw",
  "modified": "2026-05-12T21:31:32Z",
  "published": "2026-05-11T21:31:37Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-28872"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/126792"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/127111"
    }
  ],
  "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-C62C-FVGV-J4V4

Vulnerability from github – Published: 2024-08-15 18:31 – Updated: 2024-08-15 21:31
VLAI
Details

Tenda FH1201 v1.2.0.14 (408) was discovered to contain a stack overflow via the Go parameter in the fromSafeClientFilter function. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted POST request.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-42950"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-08-15T17:15:19Z",
    "severity": "HIGH"
  },
  "details": "Tenda FH1201 v1.2.0.14 (408) was discovered to contain a stack overflow via the Go parameter in the fromSafeClientFilter function. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted POST request.",
  "id": "GHSA-c62c-fvgv-j4v4",
  "modified": "2024-08-15T21:31:19Z",
  "published": "2024-08-15T18:31:51Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-42950"
    },
    {
      "type": "WEB",
      "url": "https://github.com/TTTJJJWWW/AHU-IoT-vulnerable/blob/main/Tenda/FH1201/fromSafeClientFilter_Go.md"
    }
  ],
  "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-C62Q-JR5R-R7X2

Vulnerability from github – Published: 2024-07-02 21:32 – Updated: 2024-07-05 18:34
VLAI
Details

Denial of Service (DoS) vulnerability in Jungo WinDriver before 12.6.0 allows local attackers to cause a Windows blue screen error.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-22102"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-07-02T15:15:11Z",
    "severity": "MODERATE"
  },
  "details": "Denial of Service (DoS) vulnerability in Jungo WinDriver before 12.6.0 allows local attackers to cause a Windows blue screen error.",
  "id": "GHSA-c62q-jr5r-r7x2",
  "modified": "2024-07-05T18:34:14Z",
  "published": "2024-07-02T21:32:14Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-22102"
    },
    {
      "type": "WEB",
      "url": "https://jungo.com/windriver/versions"
    },
    {
      "type": "WEB",
      "url": "https://www.cisa.gov/news-events/ics-advisories/icsa-24-135-04"
    },
    {
      "type": "WEB",
      "url": "https://www.mitsubishielectric.com/en/psirt/vulnerability/pdf/2024-001_en.pdf"
    }
  ],
  "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-C6FG-446Q-CG94

Vulnerability from github – Published: 2026-09-29 23:10 – Updated: 2026-09-29 23:10
VLAI
Summary
adm-zip: getDataAsync() bypasses the maxOutputLength size guard enforced by the synchronous getData() path
Details

Summary

adm-zip enforces a maxOutputLength guard against decompression bombs on its synchronous getData() path, but the equivalent asynchronous getDataAsync() path does not enforce it — it accumulates and returns the entire decompressed output regardless of the entry's declared size. An application that checks an entry's declared size before deciding to process it, then reads the entry via getDataAsync() (a completely ordinary, often-recommended choice for I/O in Node.js), gets none of the protection it believes it has.

Details

  • methods/inflater.js:3-10 passes {maxOutputLength: expectedLength} to inflateRawSync, which Node enforces.
  • methods/inflater.js:12-31 passes the same option to createInflateRaw but never enforces it on the streaming path — it just accumulates every chunk and allocates a final Buffer of whatever size resulted.

PoC

const AdmZip = require('adm-zip');
const zip = new AdmZip();
zip.addFile('p', Buffer.alloc(64 * 1024 * 1024, 0x41)); // 64 MiB
const raw = Buffer.from(zip.toBuffer());
// patch the local + central declared uncompressed size to 1 byte
raw.writeUInt32LE(1, localHeaderSizeOffset);
raw.writeUInt32LE(1, centralHeaderSizeOffset);
const entry = new AdmZip(raw).getEntry('p');

entry.getData();
// throws: ERR_BUFFER_TOO_LARGE: Cannot create a Buffer larger than 1 bytes

entry.getDataAsync((data, error) => { ... });
// returns the full 67,108,864-byte buffer, error is undefined

Impact

An application that validates a declared size before reading an entry, then uses the async API, gets no protection against a high-ratio DEFLATE payload. Repeated or larger requests could contribute to memory exhaustion.

Show details on source website

{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 0.6.0"
      },
      "package": {
        "ecosystem": "npm",
        "name": "adm-zip"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [],
  "database_specific": {
    "cwe_ids": [
      "CWE-400",
      "CWE-770"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-09-29T23:10:32Z",
    "nvd_published_at": null,
    "severity": "MODERATE"
  },
  "details": "### Summary\nadm-zip enforces a `maxOutputLength` guard against decompression bombs on its synchronous `getData()` path, but the equivalent asynchronous `getDataAsync()` path does not enforce it \u2014 it accumulates and returns the entire decompressed output regardless of the entry\u0027s declared size. An application that checks an entry\u0027s declared size before deciding to process it, then reads the entry via `getDataAsync()` (a completely ordinary, often-recommended choice for I/O in Node.js), gets none of the protection it believes it has.\n\n\n### Details\n\n- `methods/inflater.js:3-10` passes `{maxOutputLength: expectedLength}` to `inflateRawSync`, which Node enforces.\n- `methods/inflater.js:12-31` passes the same option to `createInflateRaw` but never enforces it on the streaming path \u2014 it just accumulates every chunk and allocates a final Buffer of whatever size resulted.\n\n\n### PoC\n\n```js\nconst AdmZip = require(\u0027adm-zip\u0027);\nconst zip = new AdmZip();\nzip.addFile(\u0027p\u0027, Buffer.alloc(64 * 1024 * 1024, 0x41)); // 64 MiB\nconst raw = Buffer.from(zip.toBuffer());\n// patch the local + central declared uncompressed size to 1 byte\nraw.writeUInt32LE(1, localHeaderSizeOffset);\nraw.writeUInt32LE(1, centralHeaderSizeOffset);\nconst entry = new AdmZip(raw).getEntry(\u0027p\u0027);\n\nentry.getData();\n// throws: ERR_BUFFER_TOO_LARGE: Cannot create a Buffer larger than 1 bytes\n\nentry.getDataAsync((data, error) =\u003e { ... });\n// returns the full 67,108,864-byte buffer, error is undefined\n```\n\n### Impact\nAn application that validates a declared size before reading an entry, then uses the async API, gets no protection against a high-ratio DEFLATE payload. Repeated or larger requests could contribute to memory exhaustion.",
  "id": "GHSA-c6fg-446q-cg94",
  "modified": "2026-09-29T23:10:32Z",
  "published": "2026-09-29T23:10:32Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/cthackers/adm-zip/security/advisories/GHSA-c6fg-446q-cg94"
    },
    {
      "type": "WEB",
      "url": "https://github.com/cthackers/adm-zip/commit/491600683dacb6cb9fe0718a0eeb9cb5eb49afa6"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/cthackers/adm-zip"
    },
    {
      "type": "WEB",
      "url": "https://github.com/cthackers/adm-zip/releases/tag/v0.6.1"
    }
  ],
  "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:L",
      "type": "CVSS_V3"
    }
  ],
  "summary": "adm-zip: getDataAsync() bypasses the maxOutputLength size guard enforced by the synchronous getData() path"
}

GHSA-C6GW-W398-HV78

Vulnerability from github – Published: 2025-02-24 22:49 – Updated: 2025-02-26 22:16
VLAI
Summary
DoS in go-jose Parsing
Details

Impact

When parsing compact JWS or JWE input, go-jose could use excessive memory. The code used strings.Split(token, ".") to split JWT tokens, which is vulnerable to excessive memory consumption when processing maliciously crafted tokens with a large number of '.' characters. An attacker could exploit this by sending numerous malformed tokens, leading to memory exhaustion and a Denial of Service.

Patches

Version 4.0.5 fixes this issue

Workarounds

Applications could pre-validate payloads passed to go-jose do not contain an excessive number of '.' characters.

References

This is the same sort of issue as in the golang.org/x/oauth2/jws package as CVE-2025-22868 and Go issue https://go.dev/issue/71490.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/go-jose/go-jose/v4"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "4.0.5"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/go-jose/go-jose/v3"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.0.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/go-jose/go-jose"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.0.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-27144"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400",
      "CWE-770"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-02-24T22:49:19Z",
    "nvd_published_at": "2025-02-24T23:15:11Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nWhen parsing compact JWS or JWE input, go-jose could use excessive memory. The code used strings.Split(token, \".\") to split JWT tokens, which is vulnerable to excessive memory consumption when processing maliciously crafted tokens with a large number of \u0027.\u0027 characters.  An attacker could exploit this by sending numerous malformed tokens, leading to memory exhaustion and a Denial of Service.\n\n### Patches\nVersion 4.0.5 fixes this issue\n\n### Workarounds\nApplications could pre-validate payloads passed to go-jose do not contain an excessive number of \u0027.\u0027 characters.\n\n### References\nThis is the same sort of issue as in the golang.org/x/oauth2/jws package as CVE-2025-22868 and Go issue https://go.dev/issue/71490.",
  "id": "GHSA-c6gw-w398-hv78",
  "modified": "2025-02-26T22:16:36Z",
  "published": "2025-02-24T22:49:19Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/go-jose/go-jose/security/advisories/GHSA-c6gw-w398-hv78"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-27144"
    },
    {
      "type": "WEB",
      "url": "https://github.com/golang/go/issues/71490"
    },
    {
      "type": "WEB",
      "url": "https://github.com/go-jose/go-jose/commit/99b346cec4e86d102284642c5dcbe9bb0cacfc22"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/go-jose/go-jose"
    },
    {
      "type": "WEB",
      "url": "https://github.com/go-jose/go-jose/releases/tag/v4.0.5"
    },
    {
      "type": "WEB",
      "url": "https://go.dev/issue/71490"
    }
  ],
  "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",
      "type": "CVSS_V4"
    }
  ],
  "summary": "DoS in go-jose Parsing"
}

GHSA-C6HX-PJC3-7FQR

Vulnerability from github – Published: 2022-10-10 21:23 – Updated: 2022-10-13 20:08
VLAI
Summary
Traefik HTTP/2 connections management could cause a denial of service
Details

Impact

There is a potential vulnerability in Traefik managing HTTP/2 connections. A closing HTTP/2 server connection could hang forever because of a subsequent fatal error. This failure mode could be exploited to cause a denial of service.

Patches

Traefik v2.8.x: https://github.com/traefik/traefik/releases/tag/v2.8.8 Traefik v2.9.x: https://github.com/traefik/traefik/releases/tag/v2.9.0-rc5

Workarounds

No workaround.

For more information

If you have any questions or comments about this advisory, please open an issue.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/traefik/traefik/v2"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.8.8"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/traefik/traefik/v2"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.9.0-rc1"
            },
            {
              "fixed": "2.9.0-rc5"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-39271"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400",
      "CWE-755"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-10-10T21:23:30Z",
    "nvd_published_at": "2022-10-11T14:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact\n\nThere is a potential vulnerability in Traefik managing HTTP/2 connections.\nA closing HTTP/2 server connection could hang forever because of a subsequent fatal error. This failure mode could be exploited to cause a denial of service.\n\n### Patches\n\nTraefik v2.8.x: https://github.com/traefik/traefik/releases/tag/v2.8.8\nTraefik v2.9.x: https://github.com/traefik/traefik/releases/tag/v2.9.0-rc5\n\n### Workarounds\n\nNo workaround.\n\n### For more information\n\nIf you have any questions or comments about this advisory, please [open an issue](https://github.com/traefik/traefik/issues).\n",
  "id": "GHSA-c6hx-pjc3-7fqr",
  "modified": "2022-10-13T20:08:57Z",
  "published": "2022-10-10T21:23:30Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/traefik/traefik/security/advisories/GHSA-c6hx-pjc3-7fqr"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-39271"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/traefik/traefik"
    },
    {
      "type": "WEB",
      "url": "https://github.com/traefik/traefik/releases/tag/v2.8.8"
    },
    {
      "type": "WEB",
      "url": "https://github.com/traefik/traefik/releases/tag/v2.9.0-rc5"
    }
  ],
  "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": "Traefik HTTP/2 connections management could cause a denial of service"
}

GHSA-C6M3-26JJ-88R9

Vulnerability from github – Published: 2022-01-20 00:02 – Updated: 2023-08-08 15:31
VLAI
Details

A vulnerability in the NETISR network queue functionality of Juniper Networks Junos OS kernel allows an attacker to cause a Denial of Service (DoS) by sending crafted genuine packets to a device. During an attack, the routing protocol daemon (rpd) CPU may reach 100% utilization, yet FPC CPUs forwarding traffic will operate normally. This attack occurs when the attackers' packets are sent over an IPv4 unicast routing equal-cost multi-path (ECMP) unilist selection. Continued receipt and processing of these packets will create a sustained Denial of Service (DoS) condition. An indicator of compromise may be to monitor NETISR drops in the network with the assistance of JTAC. Please contact JTAC for technical support for further guidance. This issue affects: Juniper Networks Junos OS 17.3 version 17.3R3-S9 and later versions prior to 17.3R3-S12; 17.4 version 17.4R3-S3 and later versions prior to 17.4R3-S5; 18.1 version 18.1R3-S11 and later versions prior to 18.1R3-S13; 18.2 version 18.2R3-S6 and later versions; 18.3 version 18.3R3-S4 and later versions prior to 18.3R3-S5; 18.4 version 18.4R3-S5 and later versions prior to 18.4R3-S9; 19.1 version 19.1R3-S3 and later versions prior to 19.1R3-S7. This issue does not affect Juniper Networks Junos OS versions prior to 17.3R3-S9. This issue does not affect Juniper Networks Junos OS Evolved.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-22159"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-01-19T01:15:00Z",
    "severity": "HIGH"
  },
  "details": "A vulnerability in the NETISR network queue functionality of Juniper Networks Junos OS kernel allows an attacker to cause a Denial of Service (DoS) by sending crafted genuine packets to a device. During an attack, the routing protocol daemon (rpd) CPU may reach 100% utilization, yet FPC CPUs forwarding traffic will operate normally. This attack occurs when the attackers\u0027 packets are sent over an IPv4 unicast routing equal-cost multi-path (ECMP) unilist selection. Continued receipt and processing of these packets will create a sustained Denial of Service (DoS) condition. An indicator of compromise may be to monitor NETISR drops in the network with the assistance of JTAC. Please contact JTAC for technical support for further guidance. This issue affects: Juniper Networks Junos OS 17.3 version 17.3R3-S9 and later versions prior to 17.3R3-S12; 17.4 version 17.4R3-S3 and later versions prior to 17.4R3-S5; 18.1 version 18.1R3-S11 and later versions prior to 18.1R3-S13; 18.2 version 18.2R3-S6 and later versions; 18.3 version 18.3R3-S4 and later versions prior to 18.3R3-S5; 18.4 version 18.4R3-S5 and later versions prior to 18.4R3-S9; 19.1 version 19.1R3-S3 and later versions prior to 19.1R3-S7. This issue does not affect Juniper Networks Junos OS versions prior to 17.3R3-S9. This issue does not affect Juniper Networks Junos OS Evolved.",
  "id": "GHSA-c6m3-26jj-88r9",
  "modified": "2023-08-08T15:31:37Z",
  "published": "2022-01-20T00:02:03Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-22159"
    },
    {
      "type": "WEB",
      "url": "https://kb.juniper.net/JSA11267"
    }
  ],
  "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-C6Q9-X9FP-XMC6

Vulnerability from github – Published: 2022-01-11 00:01 – Updated: 2022-03-17 00:06
VLAI
Details

There is an Uncontrolled resource consumption vulnerability in the display module in smartphones. Successful exploitation of this vulnerability may affect service integrity.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-40011"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-01-10T14:10:00Z",
    "severity": "CRITICAL"
  },
  "details": "There is an Uncontrolled resource consumption vulnerability in the display module in smartphones. Successful exploitation of this vulnerability may affect service integrity.",
  "id": "GHSA-c6q9-x9fp-xmc6",
  "modified": "2022-03-17T00:06:16Z",
  "published": "2022-01-11T00:01:24Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-40011"
    },
    {
      "type": "WEB",
      "url": "https://consumer.huawei.com/en/support/bulletin/2022/1"
    },
    {
      "type": "WEB",
      "url": "https://consumer.huawei.com/en/support/bulletin/2022/3"
    },
    {
      "type": "WEB",
      "url": "https://device.harmonyos.com/cn/docs/security/update/security-bulletins-phones-202203-0000001257385193"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/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.