In February 2024, Rapid7’s vulnerability research team identified two new vulnerabilities affecting JetBrains TeamCity CI/CD server:
Group-IB, a leading creator of cybersecurity technologies to investigate, prevent, and fight digital crime, has uncovered a new iOS Trojan designed to steal users’ facial recognition data, identity documents, and intercept SMS. The Trojan, dubbed GoldPickaxe.iOS by Group-IB’s Threat Intelligence unit, has been attributed to a Chinese-speaking threat actor codenamed GoldFactory, responsible for developing a suite of highly sophisticated banking Trojans that also includes the earlier discovered GoldDigger and newly identified GoldDiggerPlus, GoldKefu, and GoldPickaxe for Android. To exploit the stolen biometric data, the threat actor utilizes AI face-swapping services to create deepfakes by replacing their faces with those of the victims. This method could be used by cybercriminals to gain unauthorized access to the victim’s banking account – a new fraud technique, previously unseen by Group-IB researchers. The GoldFactory Trojans target the Asia-Pacific region, specifically — Thailand and Vietnam impersonating local banks and government organizations.
Group-IB’s discovery also marks a rare instance of malware targeting Apple’s mobile operating system. The detailed technical description of the Trojans, analysis of their technical capabilities, and the list of relevant indicators of compromise can be found in Group-IB’s latest blog post.
The Qualys Threat Research Unit (TRU) has recently unearthed four significant vulnerabilities in the GNU C Library, a cornerstone for countless applications in the Linux environment.
Before diving into the specific details of the vulnerabilities discovered by the Qualys Threat Research Unit in the GNU C Library, it’s crucial to understand these findings’ broader impact and importance. The GNU C Library, or glibc, is an essential component of virtually every Linux-based system, serving as the core interface between applications and the Linux kernel. The recent discovery of these vulnerabilities is not just a technical concern but a matter of widespread security implications.
It’s been one year since the launch of ChatGPT, and since that time, the market has seen astonishing advancement of large language models (LLMs). Despite the pace of development continuing to outpace model security, enterprises are beginning to deploy LLM-powered applications. Many rely on guardrails implemented by model developers to prevent LLMs from responding to sensitive prompts. However, even with the considerable time and effort spent by the likes of OpenAI, Google, and Meta, these guardrails are not resilient enough to protect enterprises and their users today. Concerns surrounding model risk, biases, and potential adversarial exploits have come to the forefront.
As the use of ChatGPT and other artificial intelligence (AI) technologies becomes more widespread, it is important to consider the possible risks associated with their use. One of the main concerns surrounding these technologies is the potential for malicious use, such as in the development of malware or other harmful software. Our recent reports discussed how cybercriminals are misusing the large language model’s (LLM) advanced capabilities:
We discussed how ChatGPT can be abused to scale manual and time-consuming processes in cybercriminals’ attack chains in virtual kidnapping schemes.
We also reported on how this tool can be used to automate certain processes in harpoon whaling attacks to discover “signals” or target categories.
We're sharing a look into our defense strategy and the latest news on how we build it into our products.
A recent study shows that de-platforming hate networks reduces consumption and production of hateful content on Facebook and diminishes the ability of these hate networks to operate online.
We’re sharing new threat research on two of the largest known covert influence operations in the world from China and Russia, targeting 50+ apps and countries, including the US.
We added new transparency features to Threads, including state-controlled media labels to help people know exactly who they interact with on the new app.
we continue our series on stalkerware with a write-up and batch of data sent to me by a source last night. this time it is the brazilian ownspy (aka webdetective and saferspy, by mobileinnova) that has been completely hacked. among other things ownspy claims to be the #1 most privacy focused "parental control app" allegedly featuring E2E encryption, if this sounds too good to be true that's because it mostly is, but more on that later.
Imagine being able to sit behind a hacker and observe them take control of a computer and play around with it.
That’s pretty much what two security researchers did thanks to a large network of computers set up as a honeypot for hackers.
The researchers deployed several Windows servers deliberately exposed on the internet, set up with Remote Desktop Protocol, or RDP, meaning that hackers could remotely control the compromised servers as if they were regular users, being able to type and click around.
In the last couple of months, Check Point Research (CPR) has been tracking the activity of a Chinese threat actor targeting Foreign Affairs ministries and embassies in Europe. Combined with other Chinese activity previously reported by Check Point Research, this represents a larger trend within the Chinese ecosystem, pointing to a shift to targeting European entities, with a focus on their foreign policy.
The activity described in this report, utilizes HTML Smuggling to target governmental entities in Eastern Europe. This specific campaign has been active since at least December 2022, and is likely a direct continuation of a previously reported campaign attributed to RedDelta (and also to Mustang Panda, to some extent).