Kiuwan Local Analyzer Java App HardCoded Secrets
CVE-2023-49113 Published on June 20, 2024

Sensitive Data Stored Insecurely in Kiuwan SAST Local Analyzer
The Kiuwan Local Analyzer (KLA) Java scanning application contains several hard-coded secrets in plain text format. In some cases, this can potentially compromise the confidentiality of the scan results. Several credentials were found in the JAR files of the Kiuwan Local Analyzer. The JAR file "lib.engine/insight/optimyth-insight.jar" contains the file "InsightServicesConfig.properties", which has the configuration tokens "insight.github.user" as well as "insight.github.password" prefilled with credentials. At least the specified username corresponds to a valid GitHub account. The JAR file "lib.engine/insight/optimyth-insight.jar" also contains the file "es/als/security/Encryptor.properties", in which the key used for encrypting the results of any performed scan. This issue affects Kiuwan SAST: <master.1808.p685.q13371

NVD

Vulnerability Analysis

CVE-2023-49113 can be exploited with local system access, and requires small amount of user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to be very high.

Attack Vector:
LOCAL
Attack Complexity:
LOW
Privileges Required:
LOW
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
HIGH
Availability Impact:
HIGH

Weakness Type

Cleartext Storage of Sensitive Information

The application stores sensitive information in cleartext within a resource that might be accessible to another control sphere. Because the information is stored in cleartext, attackers could potentially read it. Even if the information is encoded in a way that is not human-readable, certain techniques could determine which encoding is being used, then decode the information.


Products Associated with CVE-2023-49113

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Affected Versions

Kiuwan SAST Local Analyzer: kiuwan local_analyzer:

Exploit Probability

EPSS
0.03%
Percentile
9.44%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.