PYSEC-2026-1570

Vulnerability from pysec - Published: 2026-07-07 16:02 - Updated: 2026-07-07 17:24
VLAI
Details

An XML Entity Expansion vulnerability, also known as a 'billion laughs' attack, exists in the sitemap parser of the run-llama/llama_index repository, specifically affecting the Papers Loaders package before version 0.3.2 (in llama-index v0.10.0 and above through v0.12.29). This vulnerability allows an attacker to supply a malicious Sitemap XML, leading to a Denial of Service (DoS) by exhausting system memory and potentially causing a system crash. The issue is resolved in version 0.3.2 (in llama-index 0.12.29).

Severity
7.5 (High)
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Impacted products
Name purl
llama-index-readers-papers pkg:pypi/llama-index-readers-papers
Aliases
To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "llama-index-readers-papers",
        "purl": "pkg:pypi/llama-index-readers-papers"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.3.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.0.1",
        "0.1.0",
        "0.1.1",
        "0.1.2",
        "0.1.3",
        "0.1.4",
        "0.1.5",
        "0.1.6",
        "0.2.0",
        "0.3.0",
        "0.3.1"
      ]
    }
  ],
  "aliases": [
    "CVE-2025-3225",
    "GHSA-w42r-mrx7-c633"
  ],
  "details": "An XML Entity Expansion vulnerability, also known as a \u0027billion laughs\u0027 attack, exists in the sitemap parser of the run-llama/llama_index repository, specifically affecting the Papers Loaders package before version 0.3.2 (in llama-index v0.10.0 and above through v0.12.29). This vulnerability allows an attacker to supply a malicious Sitemap XML, leading to a Denial of Service (DoS) by exhausting system memory and potentially causing a system crash. The issue is resolved in version 0.3.2 (in llama-index 0.12.29).",
  "id": "PYSEC-2026-1570",
  "modified": "2026-07-07T17:24:34.182587Z",
  "published": "2026-07-07T16:02:56.466649Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-3225"
    },
    {
      "type": "WEB",
      "url": "https://github.com/run-llama/llama_index/commit/4f6ee062b19212106a2632af9c9521fc7f0a3584"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/run-llama/llama_index"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/e33c0699-e9a2-49aa-837b-5363205637a2"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/llama-index-readers-papers"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-w42r-mrx7-c633"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "LlamaIndex has an XML Entity Expansion vulnerability in its sitemap parser"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





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.


Detection rules are retrieved from Rulezet.