The Cloud Security Alliance (CSA) has revealed five ways malicious actors can use ChatGPT to enhance their attack toolset in a new report exploring the cybersecurity implications of large language models (LLMs). The Security Implications of ChatGPT paper details how threat actors can exploit AI-driven systems in different aspects of cyberattacks including enumeration, foothold assistance, reconnaissance, phishing, and the generation of polymorphic code. By examining these topics, the CSA said it aims to raise awareness of the potential threats and emphasize the need for robust security measures and responsible AI development.
ZeddYu Lu discovered that the FTP client from Apache Commons Net trusted
the host from PASV responses by default. A remote attacker with a
malicious FTP server could redirect the client to another server, which
could possibly result in leaked information about services running on the
private network of the client.
It was discovered that ZenLib doesn’t check the return value of a specific
operation before using it. An attacker could use a specially crafted input
to crash programs using the library.
Posted by Jonathan Gregson via Fulldisclosure on Apr 28
Hi Georgi,
As you suggested, this is a CSRF attack. Using such techniques to attack or enumerate local applications has been known
for some time and is a very difficult issue to address. Browsers have done well in preventing malicious _authenticated_
cross-site requests, but as you’ve found, attackers can still use such techniques for enumeration and information
gathering.
Fortunately, it’s not very practical except in targeted…
IBM Counter Fraud Management for Safer Payments 5.7.0.00 through 5.7.0.10, 6.0.0.00 through 6.0.0.07, 6.1.0.00 through 6.1.0.05, and 6.2.0.00 through 6.2.1.00 could allow an authenticated attacker under special circumstances to send multiple specially crafted API requests that could cause the application to crash. IBM X-Force ID: 188052.
