The (1) load_djpeg function in JpegImagePlugin.py, (2) Ghostscript function in EpsImagePlugin.py, (3) load function in IptcImagePlugin.py, and (4) _copy function in Image.py in Python Image Library (PIL) 1.1.7 and earlier and Pillow before 2.3.1 do not properly create temporary files, which allow local users to overwrite arbitrary files and obtain sensitive information via a symlink attack on the temporary file.
CVE-2014-1932 is a security vulnerability that . Impacting 2 products from python, from pythonware organizations running these solutions should prioritize assessment and patching.
Documented in 2014, this vulnerability occurred amid the cloud computing expansion era, where traditional network perimeter security models were being reevaluated. Organizations were transitioning from isolated infrastructure to interconnected systems, creating new attack surfaces that vulnerabilities like this could exploit.
2014-04-17T14:55:11.090
2025-04-12T10:46:40.837
Deferred
CVSSv2: 4.4 (MEDIUM)
AV:L/AC:M/Au:N/C:P/I:P/A:P
3.4
6.4
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | python | pillow | ≤ 2.3.0 | Yes |
| Application | pythonware | python_imaging_library | ≤ 1.1.7 | Yes |
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For python's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.