libfpx 1.3.1_p6 fpx Image dirfunc.hxx CDirVector::GetTable divide by zero

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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5.4$0-$5k0.00

Summaryinfo

A vulnerability was found in libfpx 1.3.1_p6. It has been rated as problematic. Affected is the function CDirVector::GetTable of the file dirfunc.hxx of the component fpx Image Handler. Performing a manipulation results in divide by zero. This vulnerability is cataloged as CVE-2017-12924. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in libfpx 1.3.1_p6. It has been classified as problematic. This affects the function CDirVector::GetTable of the file dirfunc.hxx of the component fpx Image Handler. The manipulation with an unknown input leads to a divide by zero vulnerability. CWE is classifying the issue as CWE-369. The product divides a value by zero. This is going to have an impact on availability. The summary by CVE is:

CDirVector::GetTable in dirfunc.hxx in libfpx 1.3.1_p6 allows remote attackers to cause a denial of service (divide-by-zero error) via a crafted fpx image.

The bug was discovered 08/09/2017. The weakness was shared 08/28/2017 (oss-sec). It is possible to read the advisory at openwall.com. This vulnerability is uniquely identified as CVE-2017-12924 since 08/17/2017. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. 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 19 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-105820, VDB-105818, VDB-105817 and VDB-105816 are related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.4
VulDB Meta Temp Score: 5.4

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.5
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Divide by zero
CWE: CWE-369 / 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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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

08/09/2017 🔍
08/17/2017 +8 days 🔍
08/28/2017 +11 days 🔍
08/28/2017 +0 days 🔍
08/29/2017 +1 days 🔍
11/10/2019 +803 days 🔍

Sourcesinfo

Advisory: openwall.com
Status: Not defined

CVE: CVE-2017-12924 (🔍)
GCVE (CVE): GCVE-0-2017-12924
GCVE (VulDB): GCVE-100-105819
See also: 🔍

Entryinfo

Created: 08/29/2017 10:35
Updated: 11/10/2019 20:25
Changes: 08/29/2017 10:35 (52), 11/10/2019 20:25 (7)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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