GCD AI RADAR
incidents/AIR-2026-0199

CVE-2026-89032: BerriAI LiteLLM semantic cache tenant isolation bypass

Attack on AI2 Disclosed vulnerabilityData leakInfrastructure vulnerability

A metadata key mismatch in BerriAI LiteLLM's semantic cache layer permits authenticated tenants to retrieve cached responses belonging to other users. This exposes sensitive information such as PII and source code.

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
  • Data leakprimary
    Training data, chat logs, system prompts, model weights or other AI-system data exposed.
  • 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
products
LiteLLM
incident date
25 Sep 2026
first reported
25 Sep 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-2026-89032 · litellm · cache-poisoning
record
created 2026-10-18 06:33Z · updated 2026-10-18 06:33Z · json

Sources · 1

  1. 2026-09-25
    CVE-2026-89032: BerriAI LiteLLM before 1.101.0-rc.1 contains a tenant isolation bypass vulnerability in the semantic cache layer that allows…
    NVD · nvd.nist.gov/vuln/detail/CVE-2026-89032

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