python-numpy: CVE-2017-12852

Related Vulnerabilities: CVE-2017-12852  

Debian Bug report logs - #872407
python-numpy: CVE-2017-12852

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Reported by: Salvatore Bonaccorso <carnil@debian.org>

Date: Thu, 17 Aug 2017 07:09:02 UTC

Severity: normal

Tags: security, upstream

Found in version python-numpy/1:1.12.1-3

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Report forwarded to debian-bugs-dist@lists.debian.org, carnil@debian.org, team@security.debian.org, secure-testing-team@lists.alioth.debian.org, team@security.debian.org, secure-testing-team@lists.alioth.debian.org, Sandro Tosi <morph@debian.org>:
Bug#872407; Package src:python-numpy. (Thu, 17 Aug 2017 07:09:04 GMT) (full text, mbox, link).


Acknowledgement sent to Salvatore Bonaccorso <carnil@debian.org>:
New Bug report received and forwarded. Copy sent to carnil@debian.org, team@security.debian.org, secure-testing-team@lists.alioth.debian.org, team@security.debian.org, secure-testing-team@lists.alioth.debian.org, Sandro Tosi <morph@debian.org>. (Thu, 17 Aug 2017 07:09:04 GMT) (full text, mbox, link).


Message #5 received at submit@bugs.debian.org (full text, mbox, reply):

From: Salvatore Bonaccorso <carnil@debian.org>
To: Debian Bug Tracking System <submit@bugs.debian.org>
Subject: python-numpy: CVE-2017-12852
Date: Thu, 17 Aug 2017 09:06:32 +0200
Source: python-numpy
Version: 1:1.12.1-3
Severity: normal
Tags: upstream security

Hi,

the following vulnerability was published for python-numpy. It's
fairly minor, and could just lead to a denial of service. Still
filling the bug for tracking purposes.

CVE-2017-12852[0]:
| 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.

If you fix the vulnerability please also make sure to include the
CVE (Common Vulnerabilities & Exposures) id in your changelog entry.

For further information see:

[0] https://security-tracker.debian.org/tracker/CVE-2017-12852
    https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-12852
[1] https://github.com/numpy/numpy/issues/9560#issuecomment-322395292

Please adjust the affected versions in the BTS as needed.

Regards,
Salvatore



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