Where the Numbers Come From: Auditing Evaluation in Provenance-Based Intrusion Detection

Reproducing a provenance-based intrusion detector's score does not establish what that score says about its emitted alarms or the information its encoder uses. We audit nine released implementations, execute four detectors using their own code, and isolate three measurement effects. First, a...

Comparative Evaluation of Static Embedding Models for HTTP Request Anomaly Detection

Web applications are increasingly targeted by cyberattacks that exploit HTTP requests to evade security mechanisms. Traditional web application firewalls WAFs rely on rule-based approaches that often exhibit high false positive rates and limited adaptability. Recent studies have explored machine...

Use of unclaimed s3 bucket in tests and examples

Impact People who use some older NLP examples that reference the old S3 bucket. Patches The problem has been patched. Upgrade to snapshots for now. A release will be published later to address this due to the vulnerability mostly being examples and 1 class in the actual code base. Workarounds...

GHSA-RC39-G977-687W Use of unclaimed s3 bucket in tests and examples

Impact People who use some older NLP examples that reference the old S3 bucket. Patches The problem has been patched. Upgrade to snapshots for now. A release will be published later to address this due to the vulnerability mostly being examples and 1 class in the actual code base. Workarounds...

CVE-2022-36022 Some Deeplearning4J packages use unclaimed s3 bucket in tests and examples

Deeplearning4J is a suite of tools for deploying and training deep learning models using the JVM. Packages org.deeplearning4j:dl4j-examples and org.deeplearning4j:platform-tests through version 1.0.0-M2.1 may use some unclaimed S3 buckets in tests in examples. This is likely affect people who use...

PT-2022-23121 · Unknown · Deeplearning4J

Name of the Vulnerable Software and Affected Versions: Deeplearning4J versions through 1.0.0-M2.1 Description: The issue affects users of older NLP examples that reference an old S3 bucket. The problem arises from the use of some unclaimed S3 buckets in tests and examples. The estimated number of...

CVE-2022-36022

CVE-2022-36022 affects Deeplearning4J up to version 1.0.0-M2.1, where certain tests and examples (packages org.deeplearning4j:dl4j-examples and org.deeplearning4j:platform-tests) may reference unclaimed S3 buckets. Root cause: tests and NLP example code referencing old, unowned S3 storage. Report...

CVE-2022-36022 Some Deeplearning4J packages use unclaimed s3 bucket in tests and examples

Deeplearning4J is a suite of tools for deploying and training deep learning models using the JVM. Packages org.deeplearning4j:dl4j-examples and org.deeplearning4j:platform-tests through version 1.0.0-M2.1 may use some unclaimed S3 buckets in tests in examples. This is likely affect people who use...