HighVulnerabilityLLM-specific

CVE-2024-5185: EmbedAI data poisoning through CSRF via malicious webpage

Source: NVD(opens in a new tab)
Identifier: CVE-2024-5185
Published: May 29, 2024
Record updated: October 9, 2026

Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.2%

Summary

CVE-2024-5185 affects the EmbedAI application, which is susceptible to security issues enabling Data Poisoning attacks. The flaw stems from a CSRF vulnerability, enabled by the absence of secure session management and weak CORS policies. An attacker who lures a user to a malicious webpage can trick that user into uploading and integrating incorrect data into the application's language model.

Mitigation

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

Details

Scores and exploitation

CVSS score: 7.3(high)
EPSS: 0.2%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on November 3, 2026.

Weaknesses and techniques

Weakness (CWE): CWE-352
AI threat technique (MITRE ATLAS): AML.T0010

Classification

Attack type: Model poisoning,
Supply chain
Attack sophistication: Moderate
AI component targeted: Training data
Impact: Integrity
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. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2024-5185

First tracked: February 15, 2026 at 08:52 PM ET, from NVD/CVE Database

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

Classifier confidence: 85% (self-assessed)

Topics

Adversarial machine learning

Summary

Mitigation

Topics

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