Siemens Solid Edge PAR 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
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
6.6$5k-$25k0.00

Summaryinfo

A vulnerability was found in Siemens Solid Edge. It has been classified as critical. Affected by this vulnerability is an unknown functionality of the component PAR File Parser. Performing a manipulation results in out-of-bounds write. This vulnerability is cataloged as CVE-2020-28381. There is no exploit available.

Detailsinfo

A vulnerability was found in Siemens Solid Edge (unknown version). It has been classified as critical. This affects an unknown code block of the component PAR File Parser. 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 weakness was shared 01/13/2021 as ssa-979834. It is possible to read the advisory at cert-portal.siemens.com. This vulnerability is uniquely identified as CVE-2020-28381. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 02/12/2021).

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

Vendor

Name

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.6
VulDB Meta Temp Score: 6.6

VulDB Base Score: 5.5
VulDB Temp Score: 5.5
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.8
NVD Vector: 🔍

CVSSv2info

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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: 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: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

11/10/2020 🔍
01/13/2021 +64 days 🔍
01/13/2021 +0 days 🔍
02/12/2021 +30 days 🔍

Sourcesinfo

Vendor: siemens.com

Advisory: ssa-979834
Status: Not defined

CVE: CVE-2020-28381 (🔍)
GCVE (CVE): GCVE-0-2020-28381
GCVE (VulDB): GCVE-100-167739

Entryinfo

Created: 01/13/2021 11:26
Updated: 02/12/2021 16:55
Changes: 01/13/2021 11:26 (36), 02/12/2021 16:50 (2), 02/12/2021 16:55 (18)
Complete: 🔍
Cache ID: 216::103

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

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