aadhaar-detection (=0.5.0), accuinsight (>=1.0.84 <=1.0.87) +38 more potentially affected by unknown CVE via tensorflow (>=2.7.0 <=2.7.0rc1)

tensorflow PYPI version =2.7.0, =1.0.84, =3.0.22, =0.1.11, =0.1.11, =0.1.11, =0.1.0, =0.0.1, =0.1.5.dev202303131412, =0.1.0, =0.1.1 and more Source cves: unknown CVE Source advisory: OSV:GHSA-WCV5-VRVR-3RX2...

aadhaar-detection (=0.5.0), accuinsight (>=1.0.84 <=1.0.87) +38 more potentially affected by CVE-2022-23570 via tensorflow (>=2.7.0 <=2.7.0rc1)

tensorflow PYPI version =2.7.0, =1.0.84, =3.0.22, =0.1.11, =0.1.11, =0.1.11, =0.1.0, =0.0.1, =0.1.5.dev202303131412, =0.1.0, =0.1.1 and more Source cves: CVE-2022-23570 Source advisory: OSV:GHSA-9P77-MMRW-69C7...

aadhaar-detection (=0.5.0), accuinsight (>=1.0.84 <=1.0.87) +38 more potentially affected by CVE-2022-23588 via tensorflow (>=2.7.0 <=2.7.0rc1)

tensorflow PYPI version =2.7.0, =1.0.84, =3.0.22, =0.1.11, =0.1.11, =0.1.11, =0.1.0, =0.0.1, =0.1.5.dev202303131412, =0.1.0, =0.1.1 and more Source cves: CVE-2022-23588 Source advisory: OSV:GHSA-FX5C-H9F6-RV7C...

aadhaar-detection (=0.5.0), accuinsight (>=1.0.84 <=1.0.87) +38 more potentially affected by CVE-2022-23587 via tensorflow (>=2.7.0 <=2.7.0rc1)

tensorflow PYPI version =2.7.0, =1.0.84, =3.0.22, =0.1.11, =0.1.11, =0.1.11, =0.1.0, =0.0.1, =0.1.5.dev202303131412, =0.1.0, =0.1.1 and more Source cves: CVE-2022-23587 Source advisory: OSV:GHSA-8JJ7-5VXC-PG2Q...

aadhaar-detection (=0.5.0), accuinsight (>=1.0.84 <=1.0.87) +38 more potentially affected by CVE-2022-23573 via tensorflow (>=2.7.0 <=2.7.0rc1)

tensorflow PYPI version =2.7.0, =1.0.84, =3.0.22, =0.1.11, =0.1.11, =0.1.11, =0.1.0, =0.0.1, =0.1.5.dev202303131412, =0.1.0, =0.1.1 and more Source cves: CVE-2022-23573 Source advisory: OSV:GHSA-Q85F-69Q7-55H2...

aadhaar-detection (=0.5.0), accuinsight (>=1.0.84 <=1.0.87) +38 more potentially affected by CVE-2022-23574 via tensorflow (>=2.7.0 <=2.7.0rc1)

tensorflow PYPI version =2.7.0, =1.0.84, =3.0.22, =0.1.11, =0.1.11, =0.1.11, =0.1.0, =0.0.1, =0.1.5.dev202303131412, =0.1.0, =0.1.1 and more Source cves: CVE-2022-23574 Source advisory: OSV:GHSA-77GP-3H4R-6428...

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

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 :...

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 :...

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...

Columbo - A Computer Forensic Analysis Tool Used To Simplify And Identify Specific Patterns In Compromised Datasets

Columbo is a computer forensic analysis tool used to simplify and identify specific patterns in compromised datasets. It breaks down data to small sections and uses pattern recognition and machine learning models to identify adversaries behaviour and their possible locations in compromised Window...

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...

Altdns - Generates permutations, alterations and mutations of subdomains and then resolves them

Altdns is a DNS recon tool that allows for the discovery of subdomains that conform to patterns. Altdns takes in words that could be present in subdomains under a domain such as test, dev, staging as well as takes in a list of subdomains that you know of. From these two lists that are provided as...

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...