Security readout for executives and security teams
This vulnerability affects Python image-processing code using PIL or Pillow to parse ICNS image files. A specially crafted image block size can crash or exhaust the parser, causing denial of service. The supplied sources do not show data theft, code execution, or confirmed active exploitation. Exposure is most likely in services, batch jobs, or user-facing applications that accept untrusted image uploads and process ICNS files with vulnerable PIL or Pillow versions. Treat as a targeted availability risk. Prioritize internet-facing upload workflows and automated image-processing services, especially where service disruption would affect customers or operations. Mitigation focus: Upgrade Pillow to 2.3.2, 2.5.2, or a later supported release.; Identify and replace vulnerable PIL or Pillow deployments where untrusted images are processed.; Restrict or reject ICNS uploads until affected image-processing components are upgraded..
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
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ATT&CK lookup starting points
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CVE-2014-3589 mapping review
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Open ATT&CK lookup- Severity
- Unknown
- CVSS
- Not scored
- Known Exploited
- No
- Published
CNA and ADP enrichment extracted from CVE v5
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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://pypi.python.org/pypi/Pillow/2.5.2CVE reference · x_refsource_CONFIRM
- https://pypi.python.org/pypi/Pillow/2.3.2CVE reference · x_refsource_CONFIRM
- https://github.com/python-pillow/Pillow/commit/205e056f8f9b06ed7b925cf8aa0874bc4aaf8a7dCVE reference · x_refsource_CONFIRM
Products and packages named in the record
CWE details
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