DotCMS-CVE-2022-45782

CVE-2022-45782 – dotCMS 비밀번호 재설정 토큰 예측 가능성 PoC 이 저장소는 비암호화 방식의 RandomStringUtils.randomAlphanumeric 메서드를 사용하여 비밀번호 재설정 토큰을 생성하는 dotCMS의 취약점인 CVE-2022-45782에 대한 개념 증명PoC 익스플로잇을 포함합니다. 토큰이 예측 가능하기 때문에 공격자는 이를 무차별 대입brute-force하거나 유도하여 관리자 계정의 비밀번호를 재설정할 수 있습니다. 이 PoC는 전체 익스플로잇 체인을 시연합니다: 취약한 dotCMS...

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 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

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...

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-2019-10755

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...