Sqreen PyMiniRacer up to 0.2.x 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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8.2$0-$5k0.00

Summaryinfo

A vulnerability was found in Sqreen PyMiniRacer up to 0.2.x. It has been classified as critical. Affected is an unknown function. Performing a manipulation results in out-of-bounds write. This vulnerability was named CVE-2020-25489. The attack may be initiated remotely. There is no available exploit. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability classified as critical has been found in Sqreen PyMiniRacer up to 0.2.x. This affects an unknown code block. The manipulation with an unknown input leads to a out-of-bounds write vulnerability. CWE is classifying the issue as CWE-787. The product writes 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:

A heap overflow in Sqreen PyMiniRacer (aka Python Mini Racer) before 0.3.0 allows remote attackers to potentially exploit heap corruption.

The weakness was presented 09/17/2020 (Website). It is possible to read the advisory at blog.sqreen.com. This vulnerability is uniquely identified as CVE-2020-25489 since 09/14/2020. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available.

Upgrading to version 0.3.0 eliminates this vulnerability.

See VDB-161524 for similar entry. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.4

VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
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 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: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: PyMiniRacer 0.3.0

Timelineinfo

09/14/2020 🔍
09/17/2020 +3 days 🔍
09/18/2020 +1 days 🔍
09/18/2020 +0 days 🔍

Sourcesinfo

Advisory: blog.sqreen.com
Status: Not defined

CVE: CVE-2020-25489 (🔍)
GCVE (CVE): GCVE-0-2020-25489
GCVE (VulDB): GCVE-100-161523
See also: 🔍

Entryinfo

Created: 09/18/2020 08:42
Updated: 09/18/2020 08:47
Changes: 09/18/2020 08:42 (39), 09/18/2020 08:47 (17)
Complete: 🔍
Cache ID: 216::103

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

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