Argyllcms up to 1.3.7 CC Profile resource management

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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9.5$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in Argyllcms. Affected by this issue is some unknown functionality of the component CC Profile. This manipulation causes resource management. This vulnerability is handled as CVE-2012-1616. There is not any exploit available. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability has been found in Argyllcms and classified as very critical. Affected by this vulnerability is an unknown code of the component CC Profile. The manipulation with an unknown input leads to a resource management vulnerability. The CWE definition for the vulnerability is CWE-399. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

Use-after-free vulnerability in icclib before 2.13, as used by Argyll CMS before 1.4 and possibly other programs, allows remote attackers to cause a denial of service (crash) or execute arbitrary code via a crafted ICC profile file.

The weakness was released 06/21/2012 as Bug 809697 as not defined bug report (Bugzilla). It is possible to read the advisory at bugzilla.redhat.com. This vulnerability is known as CVE-2012-1616. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 12/05/2021).

The vulnerability scanner Nessus provides a plugin with the ID 58998 (Fedora 16 : argyllcms-1.4.0-1.fc16 (2012-6529)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Fedora Local Security Checks.

Upgrading to version 1.0.0 eliminates this vulnerability.

The vulnerability is also documented in the databases at X-Force (75162), Tenable (58998), SecurityFocus (BID 53240†), OSVDB (81617†) and Vulnerability Center (SBV-35422†). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 10.0
VulDB Meta Temp Score: 9.5

VulDB Base Score: 10.0
VulDB Temp Score: 9.5
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: Resource management
CWE: CWE-399 / 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: 58998
Nessus Name: Fedora 16 : argyllcms-1.4.0-1.fc16 (2012-6529)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Port: 🔍

OpenVAS ID: 864222
OpenVAS Name: Fedora Update for argyllcms FEDORA-2012-6529
OpenVAS File: 🔍
OpenVAS Family: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: Argyllcms 1.0.0

Timelineinfo

03/12/2012 🔍
05/07/2012 +56 days 🔍
06/21/2012 +45 days 🔍
06/21/2012 +0 days 🔍
06/21/2012 +0 days 🔍
06/26/2012 +5 days 🔍
03/23/2015 +1000 days 🔍
12/05/2021 +2449 days 🔍

Sourcesinfo

Advisory: Bug 809697
Status: Not defined

CVE: CVE-2012-1616 (🔍)
GCVE (CVE): GCVE-0-2012-1616
GCVE (VulDB): GCVE-100-61051
X-Force: 75162
SecurityFocus: 53240
Secunia: 48921
OSVDB: 81617
Vulnerability Center: 35422 - Icclib \x3C 2.13 Use-After-Free Vulnerability Allows Remote DoS \\ Code Execution via a Crafted ICC File, Medium

Entryinfo

Created: 03/23/2015 16:50
Updated: 12/05/2021 07:43
Changes: 03/23/2015 16:50 (42), 07/08/2015 16:24 (19), 12/05/2021 07:30 (3), 12/05/2021 07:36 (7), 12/05/2021 07:43 (1)
Complete: 🔍
Cache ID: 216::103

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

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