flash-attention training framework up to 2025-13-04 Pickle checkpoint.py load_checkpoint deserialization

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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5.5$0-$5k0.00

Summaryinfo

A vulnerability was found in flash-attention training framework up to 2025-13-04. It has been declared as critical. The affected element is the function load_checkpoint of the file checkpoint.py of the component Pickle Module. The manipulation results in deserialization. This vulnerability is identified as CVE-2026-31253. There is not any exploit available.

Detailsinfo

A vulnerability, which was classified as critical, was found in flash-attention training framework up to 2025-13-04. Affected is the function load_checkpoint of the file checkpoint.py of the component Pickle Module. The manipulation with an unknown input leads to a deserialization vulnerability. CWE is classifying the issue as CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. This is going to have an impact on confidentiality, integrity, and availability. CVE summarizes:

The flash-attention training framework thru commit e724e2588cbe754beb97cf7c011b5e7e34119e62 (2025-13-04) contains an insecure deserialization vulnerability (CWE-502) in its checkpoint loading mechanism. The load_checkpoint() function in checkpoint.py and the checkpoint loading code in eval.py use torch.load() without enabling the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing a maliciously crafted checkpoint file. When a victim loads this checkpoint during model warmstarting or evaluation, arbitrary code is executed on the victim's system.

The advisory is shared for download at github.com. This vulnerability is traded as CVE-2026-31253 since 03/09/2026. There are known technical details, but no exploit is available. The current price for an exploit might be approx. USD $0-$5k (estimation calculated on 05/11/2026).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Once again VulDB remains the best source for vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.5
VulDB Meta Temp Score: 5.5

VulDB Base Score: 5.5
VulDB Temp Score: 5.5
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Deserialization
CWE: CWE-502 / CWE-20
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Partially

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

03/09/2026 CVE reserved
05/11/2026 +62 days Advisory disclosed
05/11/2026 +0 days VulDB entry created
05/11/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-31253 (🔒)
GCVE (CVE): GCVE-0-2026-31253
GCVE (VulDB): GCVE-100-362676

Entryinfo

Created: 05/11/2026 20:19
Changes: 05/11/2026 20:19 (53)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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