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PyPI (Python)

fickling Known Vulnerabilities & Fixes

fickling has 6 known security vulnerabilities in PyPI (Python). Upgrade to version 0.1.12 or later to resolve all known issues. Data sourced from OSV, enriched with EPSS exploit probability and CISA KEV.

6 Vulnerabilities

Low Immediate Risk

No actively exploited vulnerabilities detected. Monitor and update in your next maintenance window.

Recommended safe version: 0.1.12

Upgrading to 0.1.12 or later resolves all 6 known vulnerabilities in fickling. Run: pip install "fickling>=0.1.12"

Is fickling in your project?

Check if you're affected and upgrade to 0.1.12 to stay secure.

6
Total
1
Critical
5
High
0
Medium
0
Low

Security Summary

  • 6 affected version ranges have been identified across these 6 advisories.
  • 100% of known issues have a published fixed version.
  • Remediation: pip install --upgrade fickling

Vulnerabilities

6 unique vulnerabilities — sorted by exploitation risk (KEV → EPSS → CVSS). Click a CVE/GHSA ID for full details. First disclosed Jan 9, 2026, most recently Jul 4, 2026 (176 days apart).

CVE / GHSASeverityAffectedFixed In
CVE-2026-14535
CRITICAL
0.0.1, 0.0.2, 0.0.3, 0.0.4 (+14 more)0.1.12
CVE-2026-22612
Fickling vulnerable to detection bypass due to "builtins" blindness
HIGH
0.0.1, 0.0.2, 0.0.3, 0.0.4 (+9 more)0.1.7
CVE-2026-22609
Fickling has Static Analysis Bypass via Incomplete Dangerous Module Blocklist
HIGH
0.0.1, 0.0.2, 0.0.3, 0.0.4 (+9 more)0.1.7
CVE-2026-22608
Fickling vulnerable to use of ctypes and pydoc gadget chain to bypass detection
HIGH
0.0.1, 0.0.2, 0.0.3, 0.0.4 (+9 more)0.1.7
CVE-2026-22607
Fickling Blocklist Bypass: cProfile.run()
HIGH
0.0.1, 0.0.2, 0.0.3, 0.0.4 (+9 more)0.1.7
CVE-2026-22606
Fickling has a bypass via runpy.run_path() and runpy.run_module()
HIGH
0.0.1, 0.0.2, 0.0.3, 0.0.4 (+9 more)0.1.7

About This Data

Vulnerability data for fickling is sourced from the Open Source Vulnerability (OSV) database, aggregating reports from GitHub Advisory Database, NIST NVD, and ecosystem-specific sources.

CVSS (Common Vulnerability Scoring System) scores reflect exploitability and impact. EPSS (Exploit Prediction Scoring System) scores indicate the probability of exploitation within the next 30 days. Vulnerabilities marked with are listed in the CISA Known Exploited Vulnerabilities (KEV) catalog.

Related PyPI (Python) Packages

Other packages in this ecosystem, ranked by shared vulnerabilities where available.

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Data from OSV DatabaseUpdated daily200K+ vulnerabilities indexed