VDB-98423 · CVE-2016-10047 · BID 95182

ImageMagick up to 6.9.4-6 magick/xml-tree.c NewXMLTree resource consumption

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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5.3$0-$5k0.00

Summaryinfo

A vulnerability has been found in ImageMagick up to 6.9.4-6 and classified as problematic. The affected element is the function NewXMLTree of the file magick/xml-tree.c. The manipulation leads to resource consumption. This vulnerability is listed as CVE-2016-10047. The attack may be initiated remotely. There is no available exploit. The affected component should be upgraded.

Detailsinfo

A vulnerability was found in ImageMagick up to 6.9.4-6 (Image Processing Software). It has been rated as problematic. This issue affects the function NewXMLTree of the file magick/xml-tree.c. The manipulation with an unknown input leads to a resource consumption vulnerability. Using CWE to declare the problem leads to CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. Impacted is availability. The summary by CVE is:

Memory leak in the NewXMLTree function in magick/xml-tree.c in ImageMagick before 6.9.4-7 allows remote attackers to cause a denial of service (memory consumption) via a crafted XML file.

The bug was discovered 12/26/2016. The weakness was presented 03/23/2017 by Masaaki Chida (oss-sec). It is possible to read the advisory at openwall.com. The identification of this vulnerability is CVE-2016-10047 since 12/26/2016. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.

The vulnerability was handled as a non-public zero-day exploit for at least 87 days. During that time the estimated underground price was around $0-$5k.

Upgrading to version 6.9.4-7 eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 95182†). See VDB-97468, VDB-97469, VDB-97470 and VDB-97471 for similar entries. Be aware that VulDB is the high quality source 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: 5.3

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 5.5
NVD Vector: 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Resource consumption
CWE: CWE-400 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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OpenVAS ID: 801082
OpenVAS Name: ImageMagick Information Disclosure And Security Bypass Vulnerabilities (Windows)
OpenVAS File: 🔍
OpenVAS Family: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: ImageMagick 6.9.4-7
Patch: github.com

Timelineinfo

12/26/2016 🔍
12/26/2016 +0 days 🔍
12/26/2016 +0 days 🔍
03/23/2017 +87 days 🔍
03/23/2017 +0 days 🔍
03/24/2017 +1 days 🔍
11/14/2022 +2061 days 🔍

Sourcesinfo

Product: imagemagick.org

Advisory: fc6080f1321fd21e86ef916195cc110b05d9effb
Researcher: Masaaki Chida
Status: Not defined
Confirmation: 🔍

CVE: CVE-2016-10047 (🔍)
GCVE (CVE): GCVE-0-2016-10047
GCVE (VulDB): GCVE-100-98423
SecurityFocus: 95182 - ImageMagick CVE-2016-10047 Information Disclosure Vulnerability
OSVDB: - CVE-2016-10047 - ImageMagick - Denial of Service Issue

See also: 🔍

Entryinfo

Created: 03/24/2017 07:20
Updated: 11/14/2022 13:27
Changes: 03/24/2017 07:20 (70), 09/12/2020 08:55 (2), 11/14/2022 13:27 (4)
Complete: 🔍
Cache ID: 216::103

Be aware that VulDB is the high quality source for vulnerability data.

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