GCD AI RADAR
incidents/AIR-2026-1070

CVE-2026-42456: Insecure direct object reference in AnythingLLM tts endpoint

Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerabilityData leak

AnythingLLM prior to version 1.12.1 contains an insecure direct object reference vulnerability in the text-to-speech chat response route. Authenticated users can access private assistant responses belonging to other users if the chat ID is known.

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 vulnerabilityprimary
    CVEs and advisories in AI frameworks, inference servers, MCP servers, AI developer tools and hosting stacks.
  • Data leak
    Training data, chat logs, system prompts, model weights or other AI-system data exposed.
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
products
AnythingLLM
incident date
8 May 2026
first reported
8 May 2026
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-2026-42456 · idor · data_leak
record
created 2026-10-18 10:04Z · updated 2026-10-18 10:04Z · json

Sources · 1

  1. 2026-05-08
    CVE-2026-42456: 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-2026-42456

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