ImageMagick 7.0.8-6 coders/tiff.c TIFFWritePhotoshopLayers resource management
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.3 | $0-$5k | 0.00 |
Summary
A vulnerability categorized as problematic has been discovered in ImageMagick 7.0.8-6. Affected by this vulnerability is the function TIFFWritePhotoshopLayers of the file coders/tiff.c. The manipulation results in resource management.
This vulnerability is cataloged as CVE-2018-16641. The attack may be launched remotely. There is no exploit available.
It is advisable to upgrade the affected component.
Details
A vulnerability was found in ImageMagick 7.0.8-6 (Image Processing Software). It has been classified as problematic. Affected is the function TIFFWritePhotoshopLayers of the file coders/tiff.c. The manipulation with an unknown input leads to a resource management vulnerability. CWE is classifying the issue as CWE-399. This is going to have an impact on availability. CVE summarizes:
ImageMagick 7.0.8-6 has a memory leak vulnerability in the TIFFWritePhotoshopLayers function in coders/tiff.c.
The bug was discovered 07/12/2018. The weakness was shared 09/06/2018 (Website). The advisory is shared for download at github.com. This vulnerability is traded as CVE-2018-16641 since 09/06/2018. It is possible to launch the attack remotely. The exploitation doesn't require any form of authentication. Successful exploitation requires user interaction by the victim. There are known technical details, but no exploit is available.
The vulnerability was handled as a non-public zero-day exploit for at least 56 days. During that time the estimated underground price was around $0-$5k. The vulnerability scanner Nessus provides a plugin with the ID 117975 (openSUSE Security Update : ImageMagick (openSUSE-2018-1108)), 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 171657 (OpenSUSE Security Update for ImageMagick (openSUSE-SU-2018:3014-1)).
Upgrading eliminates this vulnerability. A possible mitigation has been published 2 months after the disclosure of the vulnerability.
The vulnerability is also documented in the databases at Tenable (117975) and SecurityFocus (BID 105241†). The entries VDB-104397, VDB-123477, VDB-123481 and VDB-123482 are related to this item. Once again VulDB remains the best source for vulnerability data.
Product
Type
Name
Version
License
Website
- Product: https://www.imagemagick.org/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.4VulDB Meta Temp Score: 5.3
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.5
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
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Exploiting
Class: Resource managementCWE: 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: 117975
Nessus Name: openSUSE Security Update : ImageMagick (openSUSE-2018-1108)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Patch: github.com
Timeline
07/12/2018 🔍09/03/2018 🔍
09/06/2018 🔍
09/06/2018 🔍
09/06/2018 🔍
09/07/2018 🔍
10/05/2018 🔍
10/09/2018 🔍
05/07/2023 🔍
Sources
Product: imagemagick.orgAdvisory: 256825d4eb33dc301496710d15cf5a7ae924088b
Status: Confirmed
CVE: CVE-2018-16641 (🔍)
GCVE (CVE): GCVE-0-2018-16641
GCVE (VulDB): GCVE-100-123684
SecurityFocus: 105241 - ImageMagick Multiple Heap Buffer Overflow Vulnerabilities
See also: 🔍
Entry
Created: 09/07/2018 07:50Updated: 05/07/2023 12:59
Changes: 09/07/2018 07:50 (74), 03/21/2020 10:36 (5), 05/07/2023 12:59 (5)
Complete: 🔍
Cache ID: 216::103
Once again VulDB remains the best source for vulnerability data.
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