python-gnupg 0.3.5/0.3.6 input validation

CVSS Meta Temp Score
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CTI Interest Score
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5.9$0-$5k0.00

Summaryinfo

A vulnerability was found in python-gnupg 0.3.5/0.3.6. It has been classified as problematic. This affects an unknown function. The manipulation leads to input validation. This vulnerability is uniquely identified as CVE-2014-1929. No exploit exists.

Detailsinfo

A vulnerability was found in python-gnupg 0.3.5/0.3.6 (Programming Language Software) and classified as problematic. This issue affects an unknown code block. The manipulation with an unknown input leads to a input validation vulnerability. Using CWE to declare the problem leads to CWE-20. The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

python-gnupg 0.3.5 and 0.3.6 allows context-dependent attackers to have an unspecified impact via vectors related to "option injection through positional arguments." NOTE: this vulnerability exists because of an incomplete fix for CVE-2013-7323.

The weakness was disclosed 10/25/2014 by Florian Weimer (Website). It is possible to read the advisory at debian.org. The identification of this vulnerability is CVE-2014-1929 since 02/09/2014. Attacking locally is a requirement. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available.

The vulnerability scanner Nessus provides a plugin with the ID 74313 (Debian DSA-2946-1 : python-gnupg - security update), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Debian Local Security Checks.

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 databases at Tenable (74313), SecurityFocus (BID 65539†), Secunia (SA56616†) and Vulnerability Center (SBV-49121†). The entries VDB-69994, VDB-72706 and VDB-72705 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.9
VulDB Meta Temp Score: 5.9

VulDB Base Score: 5.9
VulDB Temp Score: 5.9
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Input validation
CWE: CWE-20
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: No

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 74313
Nessus Name: Debian DSA-2946-1 : python-gnupg - security update
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍

OpenVAS ID: 702946
OpenVAS Name: Debian Security Advisory DSA 2946-1 (python-gnupg - security update)
OpenVAS File: 🔍
OpenVAS Family: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

02/09/2014 🔍
02/12/2014 +3 days 🔍
02/12/2014 +0 days 🔍
10/25/2014 +255 days 🔍
10/25/2014 +0 days 🔍
03/18/2015 +144 days 🔍
03/27/2015 +9 days 🔍
04/03/2022 +2564 days 🔍

Sourcesinfo

Advisory: debian.org
Researcher: Florian Weimer
Status: Not defined

CVE: CVE-2014-1929 (🔍)
GCVE (CVE): GCVE-0-2014-1929
GCVE (VulDB): GCVE-100-72707

OVAL: 🔍

SecurityFocus: 65539 - Python-gnupg CVE-2014-1929 Remote Command Execution Vulnerability
Secunia: 56616
Vulnerability Center: 49121 - python-gnupg 0.3.5 and 0.3.6 Remote Code Execution Vulnerability, High

See also: 🔍

Entryinfo

Created: 03/27/2015 12:07
Updated: 04/03/2022 08:04
Changes: 03/27/2015 12:07 (63), 06/23/2017 10:24 (4), 04/03/2022 08:04 (3)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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