Autodesk AutoCAD CATPART File Parser out-of-bounds write

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 marked as critical has been reported in Autodesk AutoCAD. The affected element is an unknown function of the component CATPART File Parser. This manipulation causes out-of-bounds write. This vulnerability is handled as CVE-2023-29074. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability has been found in Autodesk AutoCAD (the affected version is unknown) and classified as critical. Affected by this vulnerability is an unknown code of the component CATPART File Parser. The manipulation with an unknown input leads to a out-of-bounds write vulnerability. The CWE definition for the vulnerability is CWE-787. The product writes data past the end, or before the beginning, of the intended buffer. As an impact it is known to affect confidentiality, integrity, and availability.

The weakness was released 09/19/2023 as ZDI-23-1438. It is possible to read the advisory at zerodayinitiative.com. This vulnerability is known as CVE-2023-29074 since 03/30/2023. 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 09/19/2023).

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

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: Out-of-bounds write
CWE: CWE-787 / 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

03/30/2023 🔍
09/19/2023 +173 days 🔍
09/19/2023 +0 days 🔍
09/19/2023 +0 days 🔍

Sourcesinfo

Advisory: ZDI-23-1438
Status: Not defined

CVE: CVE-2023-29074 (🔍)
GCVE (CVE): GCVE-0-2023-29074
GCVE (VulDB): GCVE-100-239971

Entryinfo

Created: 09/19/2023 19:08
Changes: 09/19/2023 19:08 (37)
Complete: 🔍
Cache ID: 216::103

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

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