USN-6729-1 fixed vulnerabilities in Apache HTTP Server. The
update lead to the discovery of a regression in Fossil with
regards to the handling of POST requests that do not have a
Content-Length field set. This update fixes the problem.
Experts at the RSA Conference urged cyber professionals to lead the way in securing AI systems today and pave the way for AI to solve huge societal challenges
A vulnerability has been discovered in the Apache OFBiz, which could allow for remote code execution. Apache OFBiz is an open-source product for the automation of enterprise processes. It includes framework components and business applications for ERP, CRM, E-Business/E-Commerce, Supply Chain Management and Manufacturing Resource Planning. Successful exploitation of this vulnerability could allow for remote code execution in the context of the affected service account. Depending on the privileges associated with the service account, an attacker could then install programs; view, change, or delete data; or create new accounts with full user rights. Services whose accounts are configured to have less rights on the system could be less impacted than those who operate with administrative user rights.
A vulnerability has been discovered in F5 BIG-IP Next Central Manager that could allow for remote code execution. BIG-IP Next Central Manager is the management and application orchestration platform used to control BIG-IP Next instances. It can be installed on dedicated hardware or virtualized through VMware ESXi. Successful exploitation of this vulnerability could allow for Remote Code Execution in the context of the affected service account. Depending on the privileges associated with the service account, an attacker could then install programs; view, change, or delete data; or create new accounts with full user rights. Services accounts that are configured to have less rights on the system could be less impacted than those who operate with administrative user rights.
There’s a new report on how criminals are using generative AI tools:
Key Takeaways:
Adoption rates of AI technologies among criminals lag behind the rates of their industry counterparts because of the evolving nature of cybercrime.
Compared to last year, criminals seem to have abandoned any attempt at training real criminal large language models (LLMs). Instead, they are jailbreaking existing ones.
We are finally seeing the emergence of actual criminal deepfake services, with some bypassing user verification used in financial services.
Le Dinh Hai discovered that Spreadsheet::ParseXLSX did not properly manage
memory during cell merge operations. An attacker could possibly use this
issue to consume large amounts of memory, resulting in a denial of service
condition. (CVE-2024-22368)
An Pham discovered that Spreadsheet::ParseXLSX allowed the processing of
external entities in a default configuration. An attacker could possibly
use this vulnerability to execute an XML External Entity (XXE) injection
attack. (CVE-2024-23525)
The FBI has issued a warning to US retailers about a financially-motivated malicious hacking ring that has been targeting employees with phishing attacks in an attempt to create fraudulent gift cards.
Read more in my article on the Tripwire State of Security blog.