# CVE-2017-12852: Numpy missing input validation

Source: https://junglewise.ai/threats/cve-2017-12852-numpy-missing-input-validation  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2017-08-15  
License: CC BY 4.0 with a link back

CVE-2017-12852 · Severity: low · CVSS 3 · Published 2017-08-15

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.

Technologies: [numpy (PyPI)](https://junglewise.ai/threats/technologies/numpy). Vendors: [PyPI](https://junglewise.ai/threats/vendors/pypi).

## Quick answers

**Is CVE-2017-12852 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2017-12852 being exploited in the wild.

**How severe is CVE-2017-12852?** Low severity, with a CVSS score of 3, published 15 August 2017.

**Which products and versions are affected?** numpy (PyPI) ECOSYSTEM:introduced=0,fixed=1.13.3.

**Is there a fix for CVE-2017-12852?** Yes. numpy (PyPI): upgrade to 1.13.3 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

**Am I affected by CVE-2017-12852?** Check whether you run numpy (PyPI) at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## How to fix

- numpy (PyPI): upgrade to 1.13.3 or later

  ```sh
  pip install "numpy>=1.13.3"
  ```


## Affected products

- numpy (PyPI) ECOSYSTEM:introduced=0,fixed=1.13.3

## Identifiers

- CVE-2017-12852
- GHSA-frgw-fgh6-9g52
- PYSEC-2017-1

## Related threats

- [NumPy insecure deserialization in numpy.load](https://junglewise.ai/threats/cve-2019-6446-numpy-insecure-deserialization-in-numpy-load)
- [Buffer Copy without Checking Size of Input in NumPy](https://junglewise.ai/threats/cve-2021-41496-buffer-copy-without-checking-size-of-input-in-numpy)
- [NumPy NULL Pointer Dereference](https://junglewise.ai/threats/cve-2021-41495-numpy-null-pointer-dereference)
- [Incorrect Comparison in NumPy](https://junglewise.ai/threats/cve-2021-34141-incorrect-comparison-in-numpy)
- [NumPy Buffer Overflow (Disputed)](https://junglewise.ai/threats/cve-2021-33430-numpy-buffer-overflow-disputed)