Security readout for executives and security teams
Plain-English summary
PyYAML before 5.1 could run attacker-controlled code when an application used yaml.load() on untrusted YAML. The business risk depends on whether your software parses YAML from users, uploads, APIs, repositories, or other external sources. Systems that only parse trusted internal YAML have lower practical exposure.
Executive priority
Prioritize internet-facing or automation systems that ingest YAML from users, repositories, CI jobs, tickets, or APIs. Remediation is usually straightforward, but missing one unsafe parsing path can leave remote code execution risk.
Technical view
The vulnerable pattern is use of PyYAML yaml.load() before 5.1 with untrusted input. PyYAML 5.1 deprecated load() behavior and introduced UnsafeLoader for backward compatibility. The source bundle does not provide CVSS, CWE, or a universal affected-product list beyond PyYAML usage context.
Likely exposure
Python applications, tools, or dependencies using PyYAML before 5.1 are exposed only where yaml.load() processes data an attacker can influence. Exposure may be direct application code or indirect through libraries that parse YAML.
Exploitation context
The sources support arbitrary code execution from unsafe YAML loading. CISA KEV is false in the bundle, and no cited source here establishes active exploitation in the wild. Treat exploitability as pattern-dependent, not automatically present on every PyYAML installation.
Researcher notes
The key evidence is conditional: PyYAML before 5.1 plus yaml.load() plus untrusted data. The bundle lacks CVSS and detailed exploit telemetry, so validation should focus on reachable code paths and dependency behavior rather than package presence alone.
Mitigation direction
- Upgrade PyYAML using vendor or package-maintainer guidance.
- Replace untrusted yaml.load() parsing with vendor-documented safe parsing APIs.
- Avoid UnsafeLoader except for explicitly trusted data paths.
- Update operating system packages where Fedora or Gentoo advisories apply.
- Document accepted YAML trust boundaries in application security notes.
Validation and detection
- Inventory Python environments for PyYAML versions before 5.1.
- Review application code for yaml.load() calls.
- Trace each YAML input source to determine attacker control.
- Check dependencies that parse YAML internally.
- Confirm tests cover malicious or unexpected YAML inputs safely.
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.
Execution behavior lookup
The CVE wording references code or command execution, so execution technique review may help defensive triage. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.
Open ATT&CK lookupCVE-2017-18342 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
- Unknown
- CVSS
- Not scored
- Known Exploited
- No
- Published
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 and timeline data
No CVSS vectors or timeline events were available in the normalized CVE source material.
Source materials
- CVE List V5 sourceCVE List V5
- https://github.com/yaml/pyyaml/pull/74CVE reference · x_refsource_MISC
- https://github.com/yaml/pyyaml/blob/master/CHANGESCVE reference · x_refsource_MISC
- FEDORA-2019-bed9afe622CVE reference · vendor-advisory, x_refsource_FEDORA
- FEDORA-2019-779a9db46aCVE reference · vendor-advisory, x_refsource_FEDORA
- FEDORA-2019-44643e8bcbCVE reference · vendor-advisory, x_refsource_FEDORA
- https://github.com/marshmallow-code/apispec/issues/278CVE reference · x_refsource_MISC
- https://github.com/yaml/pyyaml/issues/193CVE reference · x_refsource_MISC
- https://github.com/yaml/pyyaml/wiki/PyYAML-yaml.load%28input%29-DeprecationCVE reference · x_refsource_MISC
- GLSA-202003-45CVE reference · vendor-advisory, x_refsource_GENTOO
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.
