CVE-2026-71281

Published: Ago 05, 2026 Last Modified: Ago 05, 2026
ExploitDB:
Other exploit source:
Google Dorks:
HIGH 8,8
Source: 309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: required
Scope: unchanged
Confidentiality: high
Integrity: high
Availability: high

Description

AI Translation Available

Hugging Face peft's LoRA-GA and CorDA initialization modules (src/peft/tuners/lora/corda.py lines ~102 and ~163, and src/peft/tuners/lora/loraga.py line ~101) call torch.load() on config-specified cache/covariance files without weights_only=True, bypassing peft's own safe-loading wrapper used elsewhere in the codebase. Because torch.load() without weights_only=True performs full pickle deserialization, loading a malicious cache or covariance file (e.g. a shared/downloaded LoRA-GA or CorDA cache) results in arbitrary code execution.

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
0,0033
Percentile
0,3th
Updated

EPSS Score Trend (Last 2 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, Ruby, PHP, Python, JavaScript
Technologies: Not Technology-Specific, ICS/OT, AI/ML
Likelihood of Exploit: Medium
View CWE Details
https://github.com/huggingface/peft
https://github.com/huggingface/peft
https://github.com/huggingface/peft/blob/main/src/peft/tune…
https://github.com/huggingface/peft/blob/main/src/peft/tuners/lora/corda.py