Vulnerability Monitor

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CVE-2016-9189

Pillow before 3.3.2 allows context-dependent attackers to obtain sensitive information by using the "crafted image file" approach, related to an "Integer Overflow" issue affecting the Image.core.map_buffer in map.c component.

Security Impact Summary

This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 5.5, requiring local system access to exploit with relatively low complexity though user interaction is required and does not require pre-existing privileges . The vulnerability impacts confidentiality (data exposure), for affected systems. Impacting 2 products from python, from debian organizations running these solutions should prioritize assessment and patching.

Historical Context

First disclosed in 2016, this vulnerability was reported during a period defined by widespread IoT adoption challenges, mobile security concerns, and the emergence of advanced persistent threat (APT) techniques. Contemporary mitigation strategies focused on secure development practices and third-party component vetting.

Published

2016-11-04T10:59:09.680

Last Modified

2025-04-12T10:46:40.837

Status

Deferred

Source

[email protected]

Severity

CVSSv3.0: 5.5 (MEDIUM)

CVSSv2 Vector

AV:N/AC:M/Au:N/C:P/I:N/A:N

Access Vector: NETWORK
Access Complexity: MEDIUM
Authentication: NONE
Confidentiality Impact: PARTIAL
Integrity Impact: NONE
Availability Impact: NONE

Exploitability Score

8.6

Impact Score

2.9

Weaknesses

Type: Primary
CWE-190

Affected Vendors & Products

Type	Vendor	Product	Version/Range	Vulnerable?
Application	python	pillow	≤ 3.3.1	Yes
Operating System	debian	debian_linux	8.0	Yes

References

http://pillow.readthedocs.io/en/3.4.x/releasenotes/3.3.2.html Vendor Advisory ([email protected])
http://www.debian.org/security/2016/dsa-3710 Third Party Advisory ([email protected])
http://www.securityfocus.com/bid/94234 Third Party Advisory, VDB Entry ([email protected])
https://github.com/python-pillow/Pillow/issues/2105 Issue Tracking, Patch, Third Party Advisory ([email protected])
https://github.com/python-pillow/Pillow/pull/2146/commits/c50ebe6459a131a1ea8ca531f10da616d3ceaa0f Issue Tracking, Patch, Third Party Advisory ([email protected])
https://security.gentoo.org/glsa/201612-52 ([email protected])
http://pillow.readthedocs.io/en/3.4.x/releasenotes/3.3.2.html Vendor Advisory (af854a3a-2127-422b-91ae-364da2661108)
http://www.debian.org/security/2016/dsa-3710 Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
http://www.securityfocus.com/bid/94234 Third Party Advisory, VDB Entry (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/python-pillow/Pillow/issues/2105 Issue Tracking, Patch, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/python-pillow/Pillow/pull/2146/commits/c50ebe6459a131a1ea8ca531f10da616d3ceaa0f Issue Tracking, Patch, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://security.gentoo.org/glsa/201612-52 (af854a3a-2127-422b-91ae-364da2661108)

How SecUtils Interprets This CVE

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.