Mem0

mem0 0.1.117 before 1.0.8 contains an sql injection vulnerability in mem0/vector_stores/databricks.py that allows attackers to inject SQL by influencing stored memory content. Attackers can supply crafted memory text, metadata, or message names that reach unescaped insert() and update() string interpolation to execute injected SQL on the configured Databricks SQL warehouse.

Published: 2026-10-22T10:57:43.136Z
Updated: 2026-10-29T11:23:41.895Z

Mem0 provides persistent memory infrastructure for AI agents and applications. Prior to Python SDK 2.0.18 and TypeScript SDK 3.1.6, _build_session_scope() in mem0/memory/main.py and Memory.buildSessionScope() in the TypeScript SDK join caller-controlled user_id, agent_id, and run_id values using unescaped & and = delimiters. A caller can embed another scope component in a controlled identifier so that distinct tenant tuples produce the same session_scope key. Memory.add(), AsyncMemory.add(), and the REST POST /memories flow use that key to read and save recent raw messages, allowing cross-tenant conversation disclosure and eviction or interleaving of another tenant's history. This issue is fixed in Python SDK 2.0.18 and TypeScript SDK 3.1.6.

Published: 2026-10-26T20:15:01.875Z
Updated: 2026-10-27T14:18:25.039Z

Mem0 versions through 0.2.8, fixed in commit ae7f406, contain a missing authorization vulnerability in the self-hosted server component where the POST /configure endpoint modifies global LLM provider and embedder configuration but only verifies authentication via JWT or X-API-Key without validating the caller's role. Any authenticated user holding a distributed API key can redirect all LLM and embedder traffic to an attacker-controlled server, with the malicious configuration persisted to PostgreSQL and surviving server restarts to affect all users and API keys on the instance.

Published: 2026-06-09T14:58:18.348Z
Updated: 2026-11-08T14:04:55.146Z

A vulnerability was found in mem0ai mem0 up to 1.0.11. This affects the function pickle.load/pickle.dump of the file mem0/vector_stores/faiss.py. Performing a manipulation results in deserialization. It is possible to initiate the attack remotely. The exploit has been made public and could be used. The patch is named 62dca096f9236010ca15fea9ba369ba740b86b7a. Applying a patch is the recommended action to fix this issue.

Published: 2026-05-01T21:15:11.399Z
Updated: 2026-05-05T19:45:33.404Z