GoPro gpmf-parser 1.2.3 GPMF-parse.c GPMF_seekToSamples out-of-bounds

CVSS Meta Temp Score
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CTI Interest Score
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7.5$0-$5k0.00

Summaryinfo

A vulnerability classified as critical has been found in GoPro gpmf-parser 1.2.3. Impacted is the function GPMF_seekToSamples of the file GPMF-parse.c. Performing a manipulation results in out-of-bounds. This vulnerability is reported as CVE-2019-20087. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in GoPro gpmf-parser 1.2.3. It has been classified as critical. This affects the function GPMF_seekToSamples of the file GPMF-parse.c. The manipulation with an unknown input leads to a out-of-bounds vulnerability. CWE is classifying the issue as CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

GoPro GPMF-parser 1.2.3 has a heap-based buffer over-read in GPMF_seekToSamples in GPMF-parse.c for the "matching tags" feature.

The weakness was disclosed 12/30/2019. This vulnerability is uniquely identified as CVE-2019-20087 since 12/30/2019. 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.

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

The entries VDB-147869, VDB-147868 and VDB-147866 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

Website

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

NVD Base Score: 8.8
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: Out-of-bounds
CWE: CWE-125 / 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

12/30/2019 🔍
12/30/2019 +0 days 🔍
12/30/2019 +0 days 🔍
03/18/2024 +1540 days 🔍

Sourcesinfo

Product: github.com

Advisory: 76
Status: Not defined

CVE: CVE-2019-20087 (🔍)
GCVE (CVE): GCVE-0-2019-20087
GCVE (VulDB): GCVE-100-147867
See also: 🔍

Entryinfo

Created: 12/30/2019 09:25
Updated: 03/18/2024 10:00
Changes: 12/30/2019 09:25 (37), 12/30/2019 09:30 (17), 03/18/2024 10:00 (18)
Complete: 🔍
Cache ID: 216::103

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

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