30 matches found
DotCMS-CVE-2022-45782
CVE-2022-45782 – dotCMS Password Reset Token Predictability PoC This repository contains a proof-of-concept exploit for CVE-2022-45782, a vulnerability in dotCMS where password-reset tokens are generated using the non-cryptographic method RandomStringUtils.randomAlphanumeric. Because this token i...
Predictable Seed in Pseudo-Random Number Generator (PRNG)
Overview Affected versions of this package are vulnerable to Predictable Seed in Pseudo-Random Number Generator PRNG via the use of RandomStringUtils with the default java.util.Random PRNG. An attacker can recover sensitive information by predicting the server-side encryption key if they can obta...
EUVD-2019-0762
Malware in sbrugna...
EUVD-2022-3859
Malicious code in bioql PyPI...
CVE-2019-10754
Multiple classes used within Apereo CAS before release 6.1.0-RC5 makes use of apache commons-lang3 RandomStringUtils for token and ID generation which makes them predictable due to RandomStringUtils PRNG's algorithm not being cryptographically strong...
GHSA-6GCH-63WP-4V5F Apache Linkis Spark EngineConn: Commons Lang's RandomStringUtils Random string security vulnerability
In Apache Linkis = 1.5.0, a Random string security vulnerability in Spark EngineConn, random string generated by the Token when starting Py4j uses the Commons Lang's RandomStringUtils. Users are recommended to upgrade to version 1.6.0, which fixes this issue...
Apache Linkis Spark EngineConn: Commons Lang's RandomStringUtils Random string security vulnerability
In Apache Linkis = 1.5.0, a Random string security vulnerability in Spark EngineConn, random string generated by the Token when starting Py4j uses the Commons Lang's RandomStringUtils. Users are recommended to upgrade to version 1.6.0, which fixes this issue...
CVE-2024-39928
In Apache Linkis = 1.5.0, a Random string security vulnerability in Spark EngineConn, random string generated by the Token when starting Py4j uses the Commons Lang's RandomStringUtils. Users are recommended to upgrade to version 1.6.0, which fixes this issue...
CVE-2024-39928: Inadequate Encryption Strength
In Apache Linkis = 1.5.0, a Random string security vulnerability in Spark EngineConn, random string generated by the Token when starting Py4j uses the Commons Lang's RandomStringUtils. Users are recommended to upgrade to version 1.6.0, which fixes this issue...
CVE-2024-39928 Apache Linkis Spark EngineConn: Commons Lang's RandomStringUtils Random string security vulnerability
In Apache Linkis = 1.5.0, a Random string security vulnerability in Spark EngineConn, random string generated by the Token when starting Py4j uses the Commons Lang's RandomStringUtils. Users are recommended to upgrade to version 1.6.0, which fixes this issue...
CVE-2024-39928
In Apache Linkis = 1.5.0, a Random string security vulnerability in Spark EngineConn, random string generated by the Token when starting Py4j uses the Commons Lang's RandomStringUtils. Users are recommended to upgrade to version 1.6.0, which fixes this issue...
CVE-2024-39928
Apache Linkis versions 1.3.0 through 1.5.0 are vulnerable to a weak random string generation security issue within the Spark EngineConn component. The vulnerability arises because the Token generates a random string when starting Py4j using Commons Lang's RandomStringUtils , which is insecure. Th...
CVE-2024-39928 Apache Linkis Spark EngineConn: Commons Lang's RandomStringUtils Random string security vulnerability
In Apache Linkis = 1.5.0, a Random string security vulnerability in Spark EngineConn, random string generated by the Token when starting Py4j uses the Commons Lang's RandomStringUtils. Users are recommended to upgrade to version 1.6.0, which fixes this issue...
PT-2024-28740 · Apache · Spark Engineconn +2
Name of the Vulnerable Software and Affected Versions: Apache Linkis versions 1.3.0 through 1.5.0 Description: A Random string security vulnerability exists in Spark EngineConn, where the random string generated by the Token when starting Py4j uses Commons Lang's RandomStringUtils. Recommendation...
GHSA-G24W-373R-5PXG Use of Insufficiently Random Values in Apereo CAS
Multiple classes used within Apereo CAS before release 6.1.0-RC5 makes use of apache commons-lang3 RandomStringUtils for token and ID generation which makes them predictable due to RandomStringUtils PRNG's algorithm not being cryptographically strong...
Use of Cryptographically Weak Pseudo-Random Number Generator in org.pac4j:pac4j-saml
The SAML identifier generated within SAML2Utils.java was found to make use of the apache commons-lang3 RandomStringUtils class which makes them predictable due to RandomStringUtils PRNG's algorithm not being cryptographically strong. This issue only affects the 3.X release of pac4j-saml...
CVE-2019-10755
The SAML identifier generated within SAML2Utils.java was found to make use of the apache commons-lang3 RandomStringUtils class which makes them predictable due to RandomStringUtils PRNG's algorithm not being cryptographically strong. This issue only affects the 3.X release of pac4j-saml...
CVE-2019-10754
Multiple classes used within Apereo CAS before release 6.1.0-RC5 makes use of apache commons-lang3 RandomStringUtils for token and ID generation which makes them predictable due to RandomStringUtils PRNG's algorithm not being cryptographically strong...
CVE-2019-10754
Multiple classes used within Apereo CAS before release 6.1.0-RC5 makes use of apache commons-lang3 RandomStringUtils for token and ID generation which makes them predictable due to RandomStringUtils PRNG's algorithm not being cryptographically strong...
CVE-2019-10755
The SAML identifier generated within SAML2Utils.java was found to make use of the apache commons-lang3 RandomStringUtils class which makes them predictable due to RandomStringUtils PRNG's algorithm not being cryptographically strong. This issue only affects the 3.X release of pac4j-saml...