IrfanView 4.44 on 32-bit PDF Plugin PDF File memory corruption

CVSS Meta Temp Score
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CTI Interest Score
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7.0$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in IrfanView 4.44 on 32-bit. This affects an unknown function of the component PDF Plugin. This manipulation as part of PDF File causes memory corruption. This vulnerability is tracked as CVE-2017-15262. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability has been found in IrfanView 4.44 on 32-bit (Image Processing Software) and classified as critical. Affected by this vulnerability is an unknown code of the component PDF Plugin. The manipulation as part of a PDF File leads to a memory corruption vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

IrfanView version 4.44 (32bit) with PDF plugin version 4.43 allows attackers to execute arbitrary code or cause a denial of service via a crafted .pdf file, related to "Data from Faulting Address controls Code Flow starting at PDF!xmlParserInputRead+0x0000000000048d0c."

The bug was discovered 10/12/2017. The weakness was disclosed 10/11/2017 (Website). The advisory is shared at github.com. This vulnerability is known as CVE-2017-15262 since 10/11/2017. 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. Neither technical details nor an exploit are publicly available.

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

The entries VDB-107799, VDB-107798, VDB-107796 and VDB-107795 are pretty similar. If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Type

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.0
VulDB Meta Temp Score: 7.0

VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.8
NVD Vector: 🔍

CVSSv2info

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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: Partially
Local: Yes
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

10/11/2017 🔍
10/11/2017 +0 days 🔍
10/11/2017 +0 days 🔍
10/12/2017 +1 days 🔍
10/12/2017 +0 days 🔍
11/24/2019 +773 days 🔍

Sourcesinfo

Product: irfanview.com

Advisory: github.com
Status: Not defined

CVE: CVE-2017-15262 (🔍)
GCVE (CVE): GCVE-0-2017-15262
GCVE (VulDB): GCVE-100-107797
See also: 🔍

Entryinfo

Created: 10/12/2017 10:38
Updated: 11/24/2019 11:32
Changes: 10/12/2017 10:38 (58), 11/24/2019 11:32 (1)
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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