AI Sec Watch: A Security Intelligence Platform for AI Systems

Luu, T.J.

CriticalVulnerabilityLLM-specific

GHSA-r6gp-rff2-p3hf: llama-index-core Command Injection vulnerability

Source: GitHub Advisory(opens in a new tab)
Identifiers: CVE-2024-3271GHSA-r6gp-rff2-p3hf
Published: April 15, 2024
Record updated: October 10, 2026

View JSON

Affected: llama-index-core < 0.10.24
Fixed in: 0.10.24
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 2.9%

Summary

A command injection flaw in the safe_eval function of the run-llama/llama_index repository lets attackers bypass its check for underscores in LLM-generated code. Crafted input without an underscore can still run OS commands, enabling remote code execution on the server hosting the application.

Mitigation

The source does not state a fix yet. Check the original advisory for updates.

Details

Scores and exploitation

CVSS score: 9.8(critical)
Patch available: Yes
CVSS vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Attack vector: network
Attack complexity: low
Privileges required: none
User interaction: none
EPSS: 2.9%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on October 10, 2026.
Disclosure date: April 15, 2024

Weaknesses and techniques

Weakness (CWE): CWE-77
Attack pattern (CAPEC): CAPEC-88

Affected

Packages: llama-index-core@< 0.10.24 (fixed: 0.10.24)

Classification

Attack type: Jailbreak,
Other
Attack sophistication: Moderate
AI component targeted: Framework
Impact: Confidentiality,
Integrity,
Availability
Labels: security

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative.

Original source: https://github.com/advisories/GHSA-r6gp-rff2-p3hf

First tracked: October 10, 2026 at 12:53 AM ET, from GitHub Advisory Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 95% (self-assessed)

Affected packages in the Exposure Registry

Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.

llama-index-corePyPILLM dependency since 2024-02-02 · 34 tracked dependents

Summary

Mitigation

Affected packages in the Exposure Registry

Related items