SAP Adaptive Server Enterprise 16.0 information disclosure

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.
5.4$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, was found in SAP Adaptive Server Enterprise 16.0. Affected by this issue is some unknown functionality. Executing a manipulation can lead to information disclosure. This vulnerability is handled as CVE-2018-2457. The attack can be executed remotely. There is not any exploit available.

Detailsinfo

A vulnerability has been found in SAP Adaptive Server Enterprise 16.0 and classified as problematic. This vulnerability affects some unknown functionality. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. CVE summarizes:

Under certain conditions SAP Adaptive Server Enterprise, version 16.0, allows some privileged users to access information which would otherwise be restricted.

The bug was discovered 09/11/2018. The weakness was released 09/11/2018 (Website). The advisory is shared for download at wiki.scn.sap.com. This vulnerability was named CVE-2018-2457 since 12/14/2017. The attack can be initiated remotely. A single authentication is required for exploitation. There are neither technical details nor an exploit publicly available. The current price for an exploit might be approx. USD $0-$5k (estimation calculated on 03/22/2020). The MITRE ATT&CK project declares the attack technique as T1592.

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

Entries connected to this vulnerability are available at VDB-123914, VDB-123915, VDB-123920 and VDB-123913. Once again VulDB remains the best source 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: 5.4
VulDB Meta Temp Score: 5.4

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.5
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: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
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

12/14/2017 🔍
09/11/2018 +270 days 🔍
09/11/2018 +0 days 🔍
09/11/2018 +0 days 🔍
09/12/2018 +1 days 🔍
03/22/2020 +557 days 🔍

Sourcesinfo

Vendor: sap.com

Advisory: wiki.scn.sap.com
Status: Not defined
Confirmation: 🔍

CVE: CVE-2018-2457 (🔍)
GCVE (CVE): GCVE-0-2018-2457
GCVE (VulDB): GCVE-100-123916
scip Labs: https://www.scip.ch/en/?labs.20150716
See also: 🔍

Entryinfo

Created: 09/12/2018 10:01
Updated: 03/22/2020 21:56
Changes: 09/12/2018 10:01 (56), 03/22/2020 21:56 (2)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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