CVE-2026-33233

Published: Mag 19, 2026 Last Modified: Mag 19, 2026
ExploitDB:
Other exploit source:
Google Dorks:
HIGH 7,6
Source: [email protected]
Attack Vector: adjacent_network
Attack Complexity: high
Privileges Required: high
User Interaction: none
Scope: changed
Confidentiality: high
Integrity: high
Availability: high

Description

AI Translation Available

AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. In versions 0.6.34 through 0.6.51, the backend deserializes Redis cache bytes using pickle.loads without integrity/authenticity checks. The write path serializes values with pickle.dumps(...) into Redis and the read path blindly invokes pickle.loads(...) on bytes with no HMAC/signature or strict schema validation gating deserialization. If an attacker can poison a shared-cache key in Redis, arbitrary command execution is possible in the backend container context, affecting confidentiality, integrity, and availability. This issue has been fixed in version 0.6.52.

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
0,0001
Percentile
0,0th
Updated

EPSS Score Trend (Last 2 Days)

94

Improper Control of Generation of Code ('Code Injection')

Draft
Abstraction: Base Structure: Simple
Common Consequences
Security Scopes Affected:
Access Control Integrity Confidentiality Availability Non-Repudiation
Potential Impacts:
Bypass Protection Mechanism Gain Privileges Or Assume Identity Execute Unauthorized Code Or Commands Hide Activities
Applicable Platforms
Languages: Interpreted
Technologies: AI/ML
Likelihood of Exploit: Medium
View CWE Details
345

Insufficient Verification of Data Authenticity

Draft
Abstraction: Class Structure: Simple
Common Consequences
Security Scopes Affected:
Integrity Other
Potential Impacts:
Varies By Context Unexpected State
Applicable Platforms
Technologies: ICS/OT
View CWE Details
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, Ruby, PHP, Python, JavaScript
Technologies: Not Technology-Specific, ICS/OT, AI/ML
Likelihood of Exploit: Medium
View CWE Details
https://github.com/Significant-Gravitas/AutoGPT/security/ad…
https://github.com/Significant-Gravitas/AutoGPT/security/advisories/GHSA-rfg2-3…
https://github.com/Significant-Gravitas/AutoGPT/releases/ta…
https://github.com/Significant-Gravitas/AutoGPT/releases/tag/autogpt-platform-b…
https://github.com/Significant-Gravitas/AutoGPT/security/ad…
https://github.com/Significant-Gravitas/AutoGPT/security/advisories/GHSA-rfg2-3…