AnythingLLM Authentication Flaw Permits Unauthorized Workspace Access
Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerabilityData leak
An authentication flaw in AnythingLLM prior to version 1.13.0 allows stale mobile device tokens to retain access during user mode migration. This bypasses per-user filtering and returns workspace contents without proper authentication checks.
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 AIAn AI model, agent or AI-powered product was the thing exploited, abused or leaked.
- categories
- Infrastructure vulnerabilityprimaryCVEs and advisories in AI frameworks, inference servers, MCP servers, AI developer tools and hosting stacks.
- Data leakTraining data, chat logs, system prompts, model weights or other AI-system data exposed.
- Infrastructure vulnerabilityprimary
- mitre atlas
- no technique for these categoriesBoth rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
- severity
- 2 · Disclosed vulnerabilityCVE or vendor advisory, patched or patchable, no confirmed exploitation.
- targets
- Framework / tooling, Enterprise deployment
- products
- AnythingLLM
- incident date
- 28 May 2026
- first reported
- 28 May 2026
- origin
- NVDVulnerability 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-2026-47713 · authentication_bypass · data_leak
- record
- created 2026-10-18 10:04Z · updated 2026-10-18 10:04Z · json
Sources · 1
- 2026-05-28CVE-2026-47713: AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting.NVD · nvd.nist.gov/vuln/detail/CVE-2026-47713
Titles and links belong to their publishers. The summary above is written by GCD AI RADAR in its own words; data is CC BY-SA 4.0.
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- 2026-01-27CVE-2026-24477: AnythingLLM API Key Exposure Vulnerability2 Disclosedon AIInfra vulnData leak1 src
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