Improper input validation in Opencv
CVE-2016-1517
OpenCV 3.0.0 allows remote attackers to cause a denial of service (segfault) via vectors involving corrupt chunks.
Vulnerability class: Drupalgeddon 2 (CVE-2018-7600)
Published · last modified .
CVSS v3 metric
CVSS v3 base score 5.5 (Medium). Vector: CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H.
EPSS exploit prediction
EPSS: 0.010 (62.6th percentile), scored .
Low probability of exploitation in the next 30 days, but still tracked. 63rd percentile — 62.6% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.010 · newest: 0.010 · change: 0.000
Affected products
- Opencv — versions 3.0.0
- Opencv 3.0.0 — versions OpenCV 3.0.0
Weakness classification (CWE)
Public proof-of-concept exploits
References
- github.com/opencv/opencv/issues/5956 (Patch, Issue Tracking)
- arxiv.org/pdf/1701.04739.pdf (Technical Description, Exploit, Third Party Advisory)
Frequently asked questions
- What is CVE-2016-1517?
- CVE-2016-1517 is a medium-severity vulnerability in Opencv, classified under Improper Input Validation. CVSS score: 5.5/10. Published 2017-04-10.
- How severe is CVE-2016-1517?
- Medium severity. CVSS v3 base score is 5.5 out of 10.
- Is CVE-2016-1517 known to be exploited?
- 1 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.