SAP Adaptive Server Enterprise 16.0 sql injection

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 (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
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.
7.5$5k-$25k0.00

Summaryinfo

A vulnerability was found in SAP Adaptive Server Enterprise 16.0. It has been rated as critical. This impacts an unknown function. Performing a manipulation results in sql injection. This vulnerability was named CVE-2020-6241. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability classified as critical has been found in SAP Adaptive Server Enterprise 16.0. This affects an unknown function. The manipulation with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

SAP Adaptive Server Enterprise, version 16.0, allows an authenticated user to execute crafted database queries to elevate privileges of users in the system, leading to SQL Injection.

The weakness was presented 05/12/2020. This vulnerability is uniquely identified as CVE-2020-6241 since 01/08/2020. It is possible to initiate the attack remotely. The successful exploitation requires a authentication. 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 05/13/2020). The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

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

See VDB-155045 for similar entry. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.6

VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.8
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
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

01/08/2020 🔍
05/12/2020 +125 days 🔍
05/13/2020 +1 days 🔍
10/16/2020 +156 days 🔍

Sourcesinfo

Vendor: sap.com

Status: Not defined

CVE: CVE-2020-6241 (🔍)
GCVE (CVE): GCVE-0-2020-6241
GCVE (VulDB): GCVE-100-155043
scip Labs: https://www.scip.ch/en/?labs.20150716
See also: 🔍

Entryinfo

Created: 05/13/2020 07:22
Updated: 10/16/2020 18:33
Changes: 05/13/2020 07:22 (35), 05/13/2020 07:27 (11), 10/16/2020 18:33 (1)
Complete: 🔍
Cache ID: 216::103

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

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