GPAC Advanced Content 1.0.1 MPEG-4 Decoding integer overflow

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
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6.1$0-$5k0.00

Summaryinfo

A vulnerability classified as critical has been found in GPAC Advanced Content 1.0.1. Impacted is an unknown function of the component MPEG-4 Decoding. Performing a manipulation results in integer overflow. This vulnerability is identified as CVE-2021-21837. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability was found in GPAC Advanced Content 1.0.1. It has been classified as critical. This affects some unknown processing of the component MPEG-4 Decoding. The manipulation with an unknown input leads to a integer overflow vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability.

The weakness was released 08/19/2021 as TALOS-2021-1297. It is possible to read the advisory at talosintelligence.com. This vulnerability is uniquely identified as CVE-2021-21837. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 08/19/2021).

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

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

Productinfo

Type

Vendor

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.3
VulDB Meta Temp Score: 6.1

VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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

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

01/04/2021 🔍
08/19/2021 +226 days 🔍
08/19/2021 +0 days 🔍
08/21/2021 +2 days 🔍

Sourcesinfo

Advisory: TALOS-2021-1297
Status: Not defined

CVE: CVE-2021-21837 (🔍)
GCVE (CVE): GCVE-0-2021-21837
GCVE (VulDB): GCVE-100-181131

Entryinfo

Created: 08/19/2021 07:35
Updated: 08/21/2021 12:44
Changes: 08/19/2021 07:35 (37), 08/21/2021 12:44 (2)
Complete: 🔍
Cache ID: 216::103

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

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