CVE-2017-12852
CVE-2017-12852 is a high-severity vulnerability in Numpy with a CVSS 3.x base score of 7.5. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-835.
Key facts
- Severity: High (CVSS 3.x base score 7.5)
- CVSS v2: 5.0
- EPSS exploit prediction: 3% (84th percentile)
- Actively exploited: Not listed in CISA KEV
- Weakness: CWE-835
- Affected product: Numpy
- Published:
- Last modified:
Description
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.
Frequently asked questions
- What is 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.
- How severe is CVE-2017-12852?
- CVE-2017-12852 has a CVSS 3.x base score of 7.5, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is none, integrity none, and availability high.
- Is CVE-2017-12852 being actively exploited?
- It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 3% (84th percentile), an estimate of the probability of exploitation in the next 30 days.
- What products are affected by CVE-2017-12852?
- CVE-2017-12852 affects Numpy. See the affected-products list for the exact vulnerable versions.
- How do I fix CVE-2017-12852?
- Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.
- When was CVE-2017-12852 published?
- CVE-2017-12852 was published on 2017-08-15 and last updated on 2026-06-17.
References
- https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852
- https://github.com/numpy/numpy/issues/9560#issuecomment-322395292
Affected products (1)
- cpe:2.3:a:numpy:numpy:*:*:*:*:*:*:*:*
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