Numpy up to 1.13.1 numpy.pad resource consumption

CVSS Meta Temp Score
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CTI Interest Score
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6.2$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic was found in Numpy up to 1.13.1. Impacted is the function numpy.pad. Such manipulation leads to resource consumption. This vulnerability is listed as CVE-2017-12852. The attack may be performed from remote. There is no available exploit.

Detailsinfo

A vulnerability was found in Numpy up to 1.13.1. It has been rated as problematic. Affected by this issue is the function numpy.pad. The manipulation with an unknown input leads to a resource consumption vulnerability. Using CWE to declare the problem leads to CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. Impacted is availability. CVE summarizes:

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.

The bug was discovered 08/15/2017. The weakness was presented 08/15/2017 (GitHub Repository). The advisory is shared for download at github.com. This vulnerability is handled as CVE-2017-12852 since 08/14/2017. The exploitation is known to be easy. The attack may be launched remotely. No form of authentication is required for exploitation. There are known technical details, but no exploit is available. The MITRE ATT&CK project declares the attack technique as T1499.

The vulnerability scanner Nessus provides a plugin with the ID 220700 (Linux Distros Unpatched Vulnerability : CVE-2017-12852), which helps to determine the existence of the flaw in a target environment.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at Tenable (220700). Once again VulDB remains the best source for vulnerability data.

Productinfo

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Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.2

VulDB Base Score: 5.3
VulDB Temp Score: 4.9
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Resource consumption
CWE: CWE-400 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 220700
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2017-12852

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

08/14/2017 🔍
08/15/2017 +1 days 🔍
08/15/2017 +0 days 🔍
08/15/2017 +0 days 🔍
08/16/2017 +1 days 🔍
03/04/2025 +2757 days 🔍

Sourcesinfo

Product: github.com

Advisory: 9560
Status: Not defined
Confirmation: 🔍

CVE: CVE-2017-12852 (🔍)
GCVE (CVE): GCVE-0-2017-12852
GCVE (VulDB): GCVE-100-105308

Entryinfo

Created: 08/16/2017 03:48
Updated: 03/04/2025 22:59
Changes: 08/16/2017 03:48 (54), 11/07/2019 08:10 (2), 12/15/2022 17:53 (4), 03/04/2025 22:59 (17)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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