AutoTrace 0.31.1 input-pnm.c pnm_load_raw memory corruption

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
8.5$0-$5k0.00

Summaryinfo

A vulnerability was found in AutoTrace 0.31.1. It has been rated as critical. Affected is the function pnm_load_raw of the file input-pnm.c. Performing a manipulation results in memory corruption. This vulnerability is identified as CVE-2017-9152. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability was found in AutoTrace 0.31.1 (Image Processing Software). It has been classified as critical. This affects the function pnm_load_raw of the file input-pnm.c. The manipulation with an unknown input leads to a memory corruption vulnerability. CWE is classifying the issue as CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

libautotrace.a in AutoTrace 0.31.1 has a heap-based buffer over-read in the pnm_load_raw function in input-pnm.c:346:41.

The bug was discovered 05/20/2017. The weakness was released 05/23/2017 (Website). The advisory is shared at blogs.gentoo.org. This vulnerability is uniquely identified as CVE-2017-9152 since 05/22/2017. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details are known, but no exploit is available.

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.

Entries connected to this vulnerability are available at VDB-101660, VDB-101662, VDB-101663 and VDB-101664. If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Type

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.5

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Memory corruption
CWE: CWE-119
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-2017-9152 (🔍)
GCVE (CVE): GCVE-0-2017-9152
GCVE (VulDB): GCVE-100-101661
OSVDB: - CVE-2017-9152 - Autotrace Project - Autotrace - High

See also: 🔍

Entryinfo

Created: 05/23/2017 12:50
Updated: 10/02/2020 10:01
Changes: 05/23/2017 12:50 (58), 10/02/2020 10:01 (2)
Complete: 🔍
Cache ID: 216::103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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