CVE-2026-28277

Published: Mar 05, 2026 Last Modified: Mar 09, 2026
ExploitDB:
Other exploit source:
Google Dorks:
MEDIUM 6,8
Source: [email protected]
Attack Vector: adjacent_network
Attack Complexity: low
Privileges Required: high
User Interaction: none
Scope: unchanged
Confidentiality: high
Integrity: high
Availability: high

Description

AI Translation Available

LangGraph SQLite Checkpoint is an implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via aiosqlite). In version 1.0.9 and prior, LangGraph checkpointers can load msgpack-encoded checkpoints that reconstruct Python objects during deserialization. If an attacker can modify checkpoint data in the backing store (for example, after a database compromise or other privileged write access to the persistence layer), they can potentially supply a crafted payload that triggers unsafe object reconstruction when the checkpoint is loaded. No known patch is public.

EPSS (Exploit Prediction Scoring System)

Trend Analysis

EPSS (Exploit Prediction Scoring System)

Prevede la probabilità di sfruttamento basata su intelligence sulle minacce e sulle caratteristiche della vulnerabilità.

EPSS Score
0,0002
Percentile
0,1th
Updated

EPSS Score Trend (Last 10 Days)

502

Deserialization of Untrusted Data

Draft
Abstraction: Base Structure: Simple
Common Consequences
Security Scopes Affected:
Integrity Availability Other
Potential Impacts:
Modify Application Data Unexpected State Dos: Resource Consumption (Cpu) Varies By Context
Applicable Platforms
Languages: Java, JavaScript, PHP, Python, Ruby
Technologies: AI/ML, ICS/OT, Not Technology-Specific
Likelihood of Exploit: Medium
View CWE Details
https://github.com/langchain-ai/langgraph/security/advisori…
https://github.com/langchain-ai/langgraph/security/advisories/GHSA-g48c-2wqr-h8…