GHSA-JXHH-4648-VPP3

Vulnerability from github – Published: 2025-08-05 15:23 – Updated: 2025-08-06 14:31
VLAI
Summary
FPDI allows Memory Exhaustion (OOM) in PDF Parser which leads to Denial of Service
Details

Impact

This is a significant Denial of Service (DoS) vulnerability. Any application that uses FPDI to process user-supplied PDF files is at risk. An attacker can upload a small, malicious PDF file that will cause the server-side script to crash due to memory exhaustion. Repeated attacks can lead to sustained service unavailability.

Patches

Fixed as of version 2.6.4

Workarounds

No.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "Packagist",
        "name": "setasign/fpdi"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.6.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-54869"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-770"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-08-05T15:23:54Z",
    "nvd_published_at": "2025-08-06T00:15:31Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nThis is a significant Denial of Service (DoS) vulnerability. Any application that uses FPDI to process\nuser-supplied PDF files is at risk. An attacker can upload a small, malicious PDF file that will cause\nthe server-side script to crash due to memory exhaustion. Repeated attacks can lead to sustained\nservice unavailability.\n\n### Patches\nFixed as of version 2.6.4\n\n### Workarounds\nNo.",
  "id": "GHSA-jxhh-4648-vpp3",
  "modified": "2025-08-06T14:31:50Z",
  "published": "2025-08-05T15:23:54Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/Setasign/FPDI/security/advisories/GHSA-jxhh-4648-vpp3"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-54869"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Setasign/FPDI/commit/ba671ba9221cffd32c2dda87316c19f522a1c5f0"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/Setasign/FPDI"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "FPDI allows Memory Exhaustion (OOM) in PDF Parser which leads to Denial of Service"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Loading…

Loading…

Loading…

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


Loading…