Vulnerability-Lookup

PYSEC-2026-86

Vulnerability from pysec - Published: 2026-01-12 23:15 - Updated: 2026-05-20 09:19

Details

LlamaIndex (run-llama/llama_index) versions up to and including 0.12.2 contain an uncontrolled resource consumption vulnerability in the VannaPack VannaQueryEngine implementation. The custom_query() logic generates SQL statements from a user-supplied prompt and executes them via vn.run_sql() without enforcing query execution limits In downstream deployments where untrusted users can supply prompts, an attacker can trigger expensive or unbounded SQL operations that exhaust CPU or memory resources, resulting in a denial-of-service condition. The vulnerable execution path occurs in llama_index/packs/vanna/base.py within custom_query().

Severity

7.5 (High)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Impacted products

Name	purl
llama-index	pkg:pypi/llama-index

Aliases

CVE-2024-58339

JSON

To clipboard

{
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  ],
  "aliases": [
    "CVE-2024-58339"
  ],
  "details": "LlamaIndex (run-llama/llama_index) versions up to and including 0.12.2 contain an uncontrolled resource consumption vulnerability in the VannaPack VannaQueryEngine implementation. The custom_query() logic generates SQL statements from a user-supplied prompt and executes them via vn.run_sql() without enforcing query execution limits In downstream deployments where untrusted users can supply prompts, an attacker can trigger expensive or unbounded SQL operations that exhaust CPU or memory resources, resulting in a denial-of-service condition. The vulnerable execution path occurs in llama_index/packs/vanna/base.py within custom_query().",
  "id": "PYSEC-2026-86",
  "modified": "2026-05-20T09:19:05.331978Z",
  "published": "2026-01-12T23:15:51.630Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://www.llamaindex.ai/"
    },
    {
      "type": "ADVISORY",
      "url": "https://www.vulncheck.com/advisories/llamaindex-vannaqueryengine-sql-execution-allows-resource-exhaustion"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/run-llama/llama_index"
    },
    {
      "type": "EVIDENCE",
      "url": "https://huntr.com/bounties/a1d6c30d-fce0-412a-bd22-14e0d4c1fa1f"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2024-58339 (GCVE-0-2024-58339)

Vulnerability from cvelistv5 – Published: 2026-01-12 23:04 – Updated: 2026-07-28 01:47

Title

LlamaIndex <= 0.12.2 VannaQueryEngine SQL Execution Allows Resource Exhaustion

Summary

Severity

8.7 (High)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

SSVC

Exploitation: poc Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-01-13 17:18 UTC

CWE

CWE-770 - Allocation of Resources Without Limits or Throttling

Assigner

VulnCheck mitre root

References

4 references

URL	Tags
https://huntr.com/bounties/a1d6c30d-fce0-412a-bd2…	technical-descriptionexploit
https://www.llamaindex.ai/	product
https://github.com/run-llama/llama_index	third-party-advisory
https://www.vulncheck.com/advisories/llamaindex-v…	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
run-llama	llama_index	Affected: 0 , ≤ 0.12.2 (semver) cpe:2.3:a:llamaindex:llamaindex::::::::

Credits

LifeTeam2024

Show details on NVD website

JSON

To clipboard

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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.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.