437 matches found
CVE-2023-42808 Common Voice Cross-site Scripting vulnerability
Common Voice is the web app for Mozilla Common Voice, a platform for collecting speech donations in order to create public domain datasets for training voice recognition-related tools. Version 1.88.2 is vulnerable to reflected Cross-Site Scripting given that user-controlled data flows to a path...
CVE-2023-35852
In Suricata before 6.0.13 when there is an adversary who controls an external source of rules, a dataset filename, that comes from a rule, may trigger absolute or relative directory traversal, and lead to write access to a local filesystem. This is addressed in 6.0.13 by requiring...
CVE-2023-25504 Apache Superset: Possible SSRF on import datasets
A malicious actor who has been authenticated and granted specific permissions in Apache Superset may use the import dataset feature in order to conduct Server-Side Request Forgery attacks and query internal resources on behalf of the server where Superset is deployed. This vulnerability exists in...
GHSA-FCG4-PM6H-9XX2 Apache Superset Open Redirect vulnerability
An authenticated attacker with update datasets permission could change a dataset link to an untrusted site, users could be redirected to this site when clicking on that specific dataset. This issue affects Apache Superset version 1.5.2 and prior versions and version 2.0.0...
Apache Superset Open Redirect vulnerability
An authenticated attacker with update datasets permission could change a dataset link to an untrusted site, users could be redirected to this site when clicking on that specific dataset. This issue affects Apache Superset version 1.5.2 and prior versions and version 2.0.0...
Design/Logic Flaw
An authenticated attacker with update datasets permission could change a dataset link to an untrusted site, users could be redirected to this site when clicking on that specific dataset. This issue affects Apache Superset version 1.5.2 and prior versions and version 2.0.0...
PT-2023-14307
Name of the Vulnerable Software and Affected Versions Apache Superset versions 1.5.2 and prior Apache Superset version 2.0.0 Description An authenticated attacker with update datasets permission could change a dataset link to an untrusted site. Users could be redirected to this site when clicking...
CVE-2022-43721: URL Redirection to Untrusted Site
An authenticated attacker with update datasets permission could change a dataset link to an untrusted site, users could be redirected to this site when clicking on that specific dataset. This issue affects Apache Superset version 1.5.2 and prior versions and version 2.0.0...
Apache Superset allows authenticated users to access metadata they have no permission to
Apache Superset up to 1.5.1 allowed for authenticated users to access metadata information related to datasets they have no permission on. This metadata included the dataset name, columns and metrics...
US senators introduce the Kids Online Safety Act (KOSA)
US Senators Richard Blumenthal of Connecticut and Marsha Blackburn of Tennessee have introduced the Kids Online Safety Act KOSA, legislation that aims to enhance childrens safety online. This follows the The Wall Street Journal WSJs reporting on the harm Instagram can inflict on teens, which was...
Recovering Real Faces from Face-Generation ML System
New paper: "This Person Probably Exists. Identity Membership Attacks Against GAN Generated Faces. Abstract: Recently, generative adversarial networks GANs have achieved stunning realism, fooling even human observers. Indeed, the popular tongue-in-cheek website http://thispersondoesnotexist.com,...
Facebook ParlAI 1.0.0 - Deserialization of Untrusted Data in parlai Vulnerability
Exploit Title: Facebook ParlAI 1.0.0 - Deserialization of Untrusted Data in parlai Exploit Author: Abhiram V Vendor Homepage: https://parl.ai/ Software Link: https://github.com/facebookresearch/ParlAI Version: 1.1.0 Tested on: Linux CVE: CVE-2021-24040 References :...
Facebook ParlAI 1.0.0 - Deserialization of Untrusted Data in parlai
Exploit Title: Facebook ParlAI 1.0.0 - Deserialization of Untrusted Data in parlai Date: 2021-09-11 Exploit Author: Abhiram V Vendor Homepage: https://parl.ai/ Software Link: https://github.com/facebookresearch/ParlAI Version: 1.1.0 Tested on: Linux CVE: CVE-2021-24040 References :...
Deserialization of untrusted data
parlai is a framework for training and evaluating AI models on a variety of openly available dialogue datasets. In affected versions the package is vulnerable to YAML deserialization attack caused by unsafe loading which leads to Arbitary code execution. This security bug is patched by avoiding...
Sharing the first SimuLand dataset to expedite research and learn about adversary tradecraft
Last month, we introduced the SimuLand project to help security researchers around the world deploy lab environments to reproduce well-known attack scenarios, actively test detections, and learn more about the underlying behavior and implementation of adversary techniques. Since the release of th...
Sharing the first SimuLand dataset to expedite research and learn about adversary tradecraft
Last month, we introduced the SimuLand project to help security researchers around the world deploy lab environments to reproduce well-known attack scenarios, actively test detections, and learn more about the underlying behavior and implementation of adversary techniques. Since the release of th...
Apache Solr Unauthorized Access Vulnerability
Apache Solr is a standalone enterprise-class search application server. Apache Solr unauthorized access vulnerability allows an unauthorized attacker to exploit server-side misparsing to enable reading and writing of datasets...
Talkin’ SMAC: Alert Labeling and Why It Matters
If you’ve ever worked in a Security Operations Center SOC, you know that it’s a special place. Among other things, the SOC is a massive data-labeling machine, and generates some of the most valuable data in the cybersecurity industry. Unfortunately, much of this valuable data is often rendered...
New Framework Released to Protect Machine Learning Systems From Adversarial Attacks
Microsoft, in collaboration with MITRE, IBM, NVIDIA, and Bosch, has released a new open framework that aims to help security analysts detect, respond to, and remediate adversarial attacks against machine learning ML systems. Called the Adversarial ML Threat Matrix, the initiative is an attempt to...
Collating Hacked Data Sets
Two Harvard undergraduates completed a project where they went out on the dark web and found a bunch of stolen datasets. Then they correlated all the information, and combined it with additional, publicly available, information. No surprise: the result was much more detailed and personal. "What w...