Security readout for executives and security teams
Plain-English summary
Fickling, a tool used to inspect Python pickle files, could miss malicious content because of a detection bypass. Organizations relying on Fickling to approve untrusted pickle-based artifacts may get a false sense of safety. The issue affects versions before 0.1.7 and is reported as patched in 0.1.7.
Executive priority
Prioritize promptly if your organization ingests untrusted pickle, model, or Python artifacts and relies on Fickling for risk decisions. Otherwise, handle through normal dependency patching.
Technical view
CVE-2026-22612 affects trailofbits/fickling before 0.1.7. The advisory describes a detection bypass caused by “builtins” blindness, mapped to CWE-502. The published CVSS 4.0 score is 8.9 high, with network attack vector, low complexity, no privileges, and no user interaction.
Likely exposure
Exposure is most likely in Python security, ML, or data-processing workflows that use Fickling below 0.1.7 to analyze pickle files, especially artifacts from external or untrusted sources.
Exploitation context
The sources do not cite active exploitation, and this CVE is not listed as KEV in the provided data. The risk is evasion of a defensive analysis tool, potentially allowing unsafe pickle content to pass review.
Researcher notes
Available sources identify the flaw class, affected version range, fix version, release, and patch commit. They do not provide enough detail here to independently assess exploit reliability or real-world abuse.
Mitigation direction
- Upgrade Fickling to version 0.1.7 or later.
- Identify direct and transitive uses of trailofbits/fickling.
- Treat untrusted pickle files as unsafe even after static analysis.
- Review the GitHub advisory and release notes for vendor guidance.
Validation and detection
- Check package manifests, lockfiles, and runtime environments for Fickling versions below 0.1.7.
- Confirm CI/CD and artifact-scanning workflows use the upgraded package.
- Review security gates that depend on Fickling results for pickle approval.
- Monitor the vendor advisory for any follow-up guidance.
Public sources used
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.
CWE-502: Code execution behavior lookup
Code execution and unsafe deserialization weaknesses often justify reviewing execution behavior and process telemetry. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.
Open ATT&CK lookupCVE-2026-22612 mapping review
Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.
Open ATT&CK lookup- Severity
- High
- CVSS
- 8.9 (4.0)
- Known Exploited
- No
- Published
Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P
CNA and ADP enrichment extracted from CVE v5
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
CVSS vector scores
1 official scoreWe collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P——Primary CVE scoreVulnerability scoring details
Base CVSS 4.0 score
8.9HighVector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P
Source materials
- CVE List V5 sourceCVE List V5
- https://github.com/trailofbits/fickling/security/advisories/GHSA-h4rm-mm56-xf63CVE reference · x_refsource_CONFIRM
- https://github.com/trailofbits/fickling/commit/9f309ab834797f280cb5143a2f6f987579fa7cdfCVE reference · x_refsource_MISC
- https://github.com/trailofbits/fickling/releases/tag/v0.1.7CVE reference · x_refsource_MISC
Products and packages named in the record
CWE details
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
Deserialization of Untrusted Data
Deserialization of Untrusted Data represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.