GCD AI RADAR
incidents/AIR-2024-0215

Internal link-scraping SSRF vulnerability in AnythingLLM

Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerability

AnythingLLM contains a vulnerability allowing authenticated managers or administrators to perform link scraping of internal network IPs. Attackers could potentially probe internal services if appropriate network access controls are absent.

disclosed CVENo confirmed exploitation, so this record is tracked as a disclosed vulnerability and not counted as an incident. It moves into the counts if CISA or the vendor confirms exploitation. Why

Details

type
Attack on AI
An AI model, agent or AI-powered product was the thing exploited, abused or leaked.
categories
  • Infrastructure vulnerability
    CVEs and advisories in AI frameworks, inference servers, MCP servers, AI developer tools and hosting stacks.
owasp llm top 10
mitre atlas
no technique for these categories
Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
severity
2 · Disclosed vulnerability
CVE or vendor advisory, patched or patchable, no confirmed exploitation.
targets
Framework / tooling, Enterprise deployment
products
AnythingLLM
incident date
27 Feb 2024
first reported
27 Feb 2024
origin
NVD
Vulnerability record from NVD / the GitHub Advisory Database. This product uses the NVD API but is not endorsed or certified by the NVD.
classifier confidence
0.95 · published at or above 0.80; see the methodology
tags
CVE-2024-0759 · ssrf · anythingllm
record
created 2026-10-18 10:04Z · updated 2026-10-18 10:04Z · json

Sources · 1

  1. 2024-02-27
    CVE-2024-0759: Should an instance of AnythingLLM be hosted on an internal network and the attacked be explicitly granted a permission level of…
    NVD · nvd.nist.gov/vuln/detail/CVE-2024-0759

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