Unbounded memory allocation based on untrusted length

Impact Untrusted websocket connections can cause an out-of-memory OOM process abort in a client or a server. The root cause of the issue is during dataframe parsing. Affected versions would allocate a buffer based on the declared dataframe size, which may come from an untrusted source. When...

RUSTSEC-2022-0035 Unbounded memory allocation based on untrusted length

Impact Untrusted websocket connections can cause an out-of-memory OOM process abort in a client or a server. The root cause of the issue is during dataframe parsing. Affected versions would allocate a buffer based on the declared dataframe size, which may come from an untrusted source. When...

abd-clam (>=0.10.0-dev0 <=0.12.1), adbc_core (=0.14.0) +290 more potentially affected by unknown CVE via arrow (>=0.16.0 <=5.5.0)

arrow CARGO version =0.16.0, =0.10.0-dev0, =0.6.0, =0.6.0, =0.2.0, =0.4.0, =0.3.0, =0.2.0, =2.0.0, =0.2.0, =0.1.0, =0.2.0 - arrow-graph-core =0.1.0 - arrow-graph-git =0.1.0 and more Source cves: unknown CVE Source advisory: OSV:GHSA-QGRP-8F3V-Q85P...

abd-clam (>=0.10.0-dev0 <=0.12.1), adbc_core (=0.14.0) +290 more potentially affected by unknown CVE via arrow (>=0.16.0 <=5.5.0)

arrow CARGO version =0.16.0, =0.10.0-dev0, =0.6.0, =0.6.0, =0.2.0, =0.4.0, =0.3.0, =0.2.0, =2.0.0, =0.2.0, =0.1.0, =0.2.0 - arrow-graph-core =0.1.0 - arrow-graph-git =0.1.0 and more Source cves: unknown CVE Source advisory: OSV:GHSA-H588-76VG-PRGJ...

Using Python to unearth a goldmine of threat intelligence from leaked chat logs

Dealing with a great amount of data can be time consuming, thus using Python can be very powerful to help analysts sort information and extract the most relevant data for their investigation. The open-source tools library, MSTICPy, for example, is a Python tool dedicated to threat intelligence. I...

Nfstream - A Flexible Network Data Analysis Framework

nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python...