CVE-2017-12852
The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation.
Does this matter?
High impact if exploited, but EPSS currently rates exploitation as unlikely (2.74%). Schedule it in the normal patch cycle and watch for a rise in EPSS or a public exploit.
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.
- CVSS 3.0
- 7.5 HIGHCVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
- EPSS
- 2.74% probability · 86th percentile
- Public exploits
- None in Exploit-DB
- CISA KEV
- Not listed
- Weakness
- CWE-835
- Affected
- numpy/numpy
- Source
- cve@mitre.org
EPSS 2.7% since 27 October 2026; no change recorded yet. Points are recorded when the score first appears and whenever it moves by a percentage point or more.
References
- https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852
- https://github.com/numpy/numpy/issues/9560#issuecomment-322395292Exploit, Third Party Advisory
- https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852
- https://github.com/numpy/numpy/issues/9560#issuecomment-322395292Exploit, Third Party Advisory
Source: NVD record, EPSS from FIRST.org, KEV from CISA, exploits from Exploit-DB. Refreshed daily. Download this record as JSON.