LibRaw up to 19.x normalize_model.cpp GetNormalizedModel Metadata buffer overflow

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.3$0-$5k0.00

Summaryinfo

A vulnerability identified as critical has been detected in LibRaw up to 19.x. Impacted is the function LibRaw::GetNormalizedModel of the file src/metadata/normalize_model.cpp. Performing a manipulation as part of Metadata results in buffer overflow. This vulnerability is identified as CVE-2020-24889. The attack is only possible with local access. There is not any exploit available. You should upgrade the affected component.

Detailsinfo

A vulnerability was found in LibRaw up to 19.x (Image Processing Software). It has been classified as critical. This affects the function LibRaw::GetNormalizedModel of the file src/metadata/normalize_model.cpp. The manipulation as part of a Metadata leads to a buffer overflow vulnerability. CWE is classifying the issue as CWE-120. The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

A buffer overflow vulnerability in LibRaw version < 20.0 LibRaw::GetNormalizedModel in src/metadata/normalize_model.cpp may lead to context-dependent arbitrary code execution.

The weakness was released 09/16/2020. This vulnerability is uniquely identified as CVE-2020-24889 since 08/28/2020. 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.

Upgrading to version 20.0 eliminates this vulnerability.

Entry connected to this vulnerability is available at VDB-161332. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.5
VulDB Meta Temp Score: 6.4

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.8
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: Buffer overflow
CWE: CWE-120 / 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: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: LibRaw 20.0

Timelineinfo

08/28/2020 🔍
09/16/2020 +19 days 🔍
09/17/2020 +1 days 🔍
09/17/2020 +0 days 🔍

Sourcesinfo

Status: Not defined

CVE: CVE-2020-24889 (🔍)
GCVE (CVE): GCVE-0-2020-24889
GCVE (VulDB): GCVE-100-161331
See also: 🔍

Entryinfo

Created: 09/17/2020 06:45
Updated: 09/17/2020 06:50
Changes: 09/17/2020 06:45 (39), 09/17/2020 06:50 (18)
Complete: 🔍
Cache ID: 216::103

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

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