ImageMagick 7.0.7-0 coders/sun.c ReadSUNImage resource management

CVSS Meta Temp Score
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CTI Interest Score
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5.3$0-$5k0.00

Summaryinfo

A vulnerability was found in ImageMagick 7.0.7-0. It has been rated as problematic. Impacted is the function ReadSUNImage of the file coders/sun.c. This manipulation causes resource management. This vulnerability is handled as CVE-2017-14531. The attack can be initiated remotely. There is not any exploit available. Upgrading the affected component is advised.

Detailsinfo

A vulnerability has been found in ImageMagick 7.0.7-0 (Image Processing Software) and classified as problematic. Affected by this vulnerability is the function ReadSUNImage of the file coders/sun.c. 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 availability. The summary by CVE is:

ImageMagick 7.0.7-0 has a memory exhaustion issue in ReadSUNImage in coders/sun.c.

The bug was discovered 09/17/2017. The weakness was released 09/18/2017 (GitHub Repository). It is possible to read the advisory at github.com. This vulnerability is known as CVE-2017-14531 since 09/17/2017. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit.

The vulnerability scanner Nessus provides a plugin with the ID 105409 (SUSE SLED12 / SLES12 Security Update : ImageMagick (SUSE-SU-2017:3388-1)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family SuSE Local Security Checks and running in the context l. The commercial vulnerability scanner Qualys is able to test this issue with plugin 170610 (SUSE Enterprise Linux Security Update for ImageMagick (SUSE-SU-2017:3378-1)).

Upgrading eliminates this vulnerability. A possible mitigation has been published 4 months after the disclosure of the vulnerability.

The vulnerability is also documented in the databases at Tenable (105409) and SecurityFocus (BID 100888†). Entries connected to this vulnerability are available at VDB-104954, VDB-104965, VDB-104972 and VDB-106440. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.4
VulDB Meta Temp Score: 5.1

VulDB Base Score: 4.3
VulDB Temp Score: 3.8
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.5
NVD Vector: 🔍

CVSSv2info

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VulDB Base Score: 🔍
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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: 105409
Nessus Name: SUSE SLED12 / SLES12 Security Update : ImageMagick (SUSE-SU-2017:3388-1)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

OpenVAS ID: 870971
OpenVAS Name: SuSE Update for ImageMagick openSUSE-SU-2017:3420-1 (ImageMagick)
OpenVAS File: 🔍
OpenVAS Family: 🔍

Qualys ID: 🔍
Qualys Name: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍

Timelineinfo

09/17/2017 🔍
09/17/2017 +0 days 🔍
09/17/2017 +0 days 🔍
09/17/2017 +0 days 🔍
09/18/2017 +1 days 🔍
09/18/2017 +0 days 🔍
12/20/2017 +93 days 🔍
12/21/2017 +1 days 🔍
09/11/2024 +2456 days 🔍

Sourcesinfo

Product: imagemagick.org

Advisory: 718
Researcher: ADLab
Status: Not defined
Confirmation: 🔍

CVE: CVE-2017-14531 (🔍)
GCVE (CVE): GCVE-0-2017-14531
GCVE (VulDB): GCVE-100-106771
SecurityFocus: 100888

See also: 🔍

Entryinfo

Created: 09/18/2017 18:58
Updated: 09/11/2024 17:15
Changes: 09/18/2017 18:58 (63), 11/17/2019 10:23 (12), 01/13/2021 11:39 (4), 12/29/2022 10:59 (3), 12/29/2022 11:05 (1), 09/11/2024 17:15 (18)
Complete: 🔍
Cache ID: 216::103

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

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