Google SketchUp v8.x DAE File memory corruption

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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4.8$0-$5k0.00

Summaryinfo

A vulnerability has been found in Google SketchUp v8.x and classified as critical. Affected by this issue is some unknown functionality of the component DAE File Handler. This manipulation causes memory corruption. In addition, an exploit is available.

Detailsinfo

A vulnerability was found in Google SketchUp v8.x. It has been declared as critical. Affected by this vulnerability is an unknown part of the component DAE File Handler. The manipulation with an unknown input leads to a memory corruption vulnerability. The CWE definition for the vulnerability is CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. As an impact it is known to affect confidentiality, integrity, and availability.

The weakness was presented 09/12/2011 by Benjamin Kunz Mejri as VL-ID 99 as not defined advisory (Website). The advisory is shared at vulnerability-lab.com. Technical details are unknown but a public exploit is available.

A public exploit has been developed by Benjamin Kunz Mejri and been published immediately after the advisory. It is possible to download the exploit at vulnerability-lab.com. It is declared as proof-of-concept. We expect the 0-day to have been worth approximately $25k-$100k.

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

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.3
VulDB Meta Temp Score: 4.8

VulDB Base Score: 5.3
VulDB Temp Score: 4.8
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: Memory corruption
CWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: No

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Author: Benjamin Kunz Mejri
Download: 🔍
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: 🔍
Exploit Delay Time: 🔍

Timelineinfo

09/12/2011 🔍
09/12/2011 +0 days 🔍
09/06/2016 +1821 days 🔍
04/10/2019 +946 days 🔍

Sourcesinfo

Vendor: google.com

Advisory: VL-ID 99
Researcher: Benjamin Kunz Mejri
Status: Not defined

GCVE (VulDB): GCVE-100-91213
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 09/06/2016 13:10
Updated: 04/10/2019 09:29
Changes: 09/06/2016 13:10 (43), 04/10/2019 09:29 (1)
Complete: 🔍
Cache ID: 216::103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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