Travis Shirk eyeD3 up to 0.7.3 link following

CVSS Meta Temp Score
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CTI Interest Score
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5.1$0-$5k0.00

Summaryinfo

A vulnerability was found in Travis Shirk eyeD3. It has been classified as problematic. This affects an unknown function. Performing a manipulation results in link following. This vulnerability is reported as CVE-2014-1934. No exploit exists.

Detailsinfo

A vulnerability, which was classified as problematic, was found in Travis Shirk eyeD3. This affects an unknown code block. The manipulation with an unknown input leads to a link following vulnerability. CWE is classifying the issue as CWE-59. The product attempts to access a file based on the filename, but it does not properly prevent that filename from identifying a link or shortcut that resolves to an unintended resource. This is going to have an impact on integrity, and availability. The summary by CVE is:

tag.py in eyeD3 (aka python-eyed3) 7.0.3, 0.6.18, and earlier for Python allows local users to modify arbitrary files via a symlink attack on a temporary file.

The weakness was disclosed 05/08/2014 by Jakub Wilk as Bug 1063671 as not defined bug report (Bugzilla). It is possible to read the advisory at bugzilla.redhat.com. This vulnerability is uniquely identified as CVE-2014-1934 since 02/10/2014. Attacking locally is a requirement. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available.

The vulnerability scanner Nessus provides a plugin with the ID 75350 (openSUSE Security Update : python-eyeD3 (openSUSE-SU-2014:0620-1)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family SuSE Local Security Checks. The commercial vulnerability scanner Qualys is able to test this issue with plugin 166981 (OpenSuSE Security Update for python-eyeD3 (openSUSE-SU-2014:0620-1)).

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 (75350), SecurityFocus (BID 65480†) and Vulnerability Center (SBV-44979†). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.1
VulDB Meta Temp Score: 5.1

VulDB Base Score: 5.1
VulDB Temp Score: 5.1
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: Link following
CWE: CWE-59
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: 75350
Nessus Name: openSUSE Security Update : python-eyeD3 (openSUSE-SU-2014:0620-1)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Port: 🔍

Qualys ID: 🔍
Qualys Name: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

01/29/2014 🔍
01/29/2014 +0 days 🔍
02/10/2014 +12 days 🔍
05/08/2014 +87 days 🔍
05/08/2014 +0 days 🔍
06/12/2014 +35 days 🔍
06/13/2014 +1 days 🔍
03/25/2015 +285 days 🔍
12/20/2024 +3558 days 🔍

Sourcesinfo

Advisory: Bug 1063671
Researcher: Jakub Wilk
Status: Not defined
Confirmation: 🔍

CVE: CVE-2014-1934 (🔍)
GCVE (CVE): GCVE-0-2014-1934
GCVE (VulDB): GCVE-100-69627
SecurityFocus: 65480 - eyeD3 Insecure Temporary File Creation Vulnerability
Vulnerability Center: 44979 - eyeD3 for Python Local File System Write via a Symlink Attack on a Temporary File, Low

Entryinfo

Created: 03/25/2015 16:45
Updated: 12/20/2024 01:54
Changes: 03/25/2015 16:45 (60), 05/30/2017 11:14 (5), 03/21/2022 09:53 (3), 12/20/2024 01:54 (18)
Complete: 🔍
Cache ID: 216::103

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

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