Vulnerability in Numpy
CVE-2017-12852
The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.
Published · last modified .
CVSS v3 metric
CVSS v3 base score 7.5 (High). Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H.
EPSS exploit prediction
EPSS: 0.027 (85.5th percentile), scored .
Low probability of exploitation in the next 30 days, but still tracked. 85th percentile — 85.5% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.027 · newest: 0.027 · change: 0.000
Affected products
Weakness classification (CWE)
Public proof-of-concept exploits
References
- github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852
- github.com/numpy/numpy/issues/9560 (Exploit, Third Party Advisory)
Frequently asked questions
- What is CVE-2017-12852?
- CVE-2017-12852 is a high-severity vulnerability in Numpy, classified under Loop with Unreachable Exit Condition (Infinite Loop). CVSS score: 7.5/10. Published 2017-08-15.
- How severe is CVE-2017-12852?
- High severity. CVSS v3 base score is 7.5 out of 10.
- Is CVE-2017-12852 known to be exploited?
- 2 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.