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...

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...

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...

automation-vision (0.1.0), mbpython (>=0.1.0, <=0.2.2) +4 more potentially affected by CVE-2021-32559 via pywin32 (228.0.0)

pywin32 PYPI version 228.0.0 is affected by a known vulnerability. The following packages have a transitive dependency on pywin32 and may be impacted: - automation-vision 0.1.0 - mbpython =0.1.0, =0.1.0, =0.0.1, =0.0.2 - supervisor-win 4.5.0 - wacryptolib 0.5.0 Source cves: CVE-2021-32559 Source...

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...

Quantopian: Stored cross-site scripting in dataset owner.

Hi again. Another XSS this time. Summary: Unescaped chars in 'dataset owner' could be abused to store arbitrary javascript. Description: There is a 'dataset owner' field in new 'custom dataset dashboard' which contains unsanitized output. If attacker would modify his name, like first name '', the...

CVE-2017-16583

This vulnerability allows remote attackers to execute arbitrary code on vulnerable installations of Foxit Reader 8.3.2.25013. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the...

CVE-2017-16583

This vulnerability allows remote attackers to execute arbitrary code on vulnerable installations of Foxit Reader 8.3.2.25013. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the...

Foxit Reader XFA datasets Use-After-Free Remote Code Execution Vulnerability

This vulnerability allows remote attackers to execute arbitrary code on vulnerable installations of Foxit Reader. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the datasets elemen...

PT-2017-14467

Name of the Vulnerable Software and Affected Versions Foxit Reader version 8.3.2.25013 Description This issue allows remote attackers to execute arbitrary code on vulnerable installations. User interaction is required, where the target must visit a malicious page or open a malicious file. The fla...