AutoTrace 0.31.1 input-tga.c integer overflow

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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7.5$0-$5k0.00

Summaryinfo

A vulnerability marked as problematic has been reported in AutoTrace 0.31.1. Affected by this issue is some unknown functionality of the file input-tga.c. This manipulation causes integer overflow. This vulnerability is tracked as CVE-2017-9198. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in AutoTrace 0.31.1 (Image Processing Software). It has been declared as problematic. Affected by this vulnerability is an unknown code of the file input-tga.c. The manipulation with an unknown input leads to a integer overflow vulnerability. The CWE definition for the vulnerability is CWE-190. The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control. As an impact it is known to affect availability. The summary by CVE is:

libautotrace.a in AutoTrace 0.31.1 has a "cannot be represented in type int" issue in input-tga.c:508:18.

The bug was discovered 05/20/2017. The weakness was disclosed 05/23/2017 (Website). It is possible to read the advisory at blogs.gentoo.org. This vulnerability is known as CVE-2017-9198 since 05/22/2017. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit.

The vulnerability was handled as a non-public zero-day exploit for at least 3 days. During that time the estimated underground price was around $0-$5k.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The entries VDB-101660, VDB-101661, VDB-101662 and VDB-101663 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.6

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

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Integer overflow
CWE: CWE-190 / CWE-189
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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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

05/20/2017 🔍
05/22/2017 +2 days 🔍
05/23/2017 +1 days 🔍
05/23/2017 +0 days 🔍
05/23/2017 +0 days 🔍
10/02/2020 +1228 days 🔍

Sourcesinfo

Advisory: blogs.gentoo.org
Status: Not defined

CVE: CVE-2017-9198 (🔍)
GCVE (CVE): GCVE-0-2017-9198
GCVE (VulDB): GCVE-100-101707
OSVDB: - CVE-2017-9198 - Autotrace Project - Autotrace - High

See also: 🔍

Entryinfo

Created: 05/23/2017 13:03
Updated: 10/02/2020 16:03
Changes: 05/23/2017 13:03 (57), 10/02/2020 16:03 (2)
Complete: 🔍
Cache ID: 216::103

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