Over on SuspectFile, Marco A. De Felice reports that the NoEscape ransomware gang is threatening to release 1.5 TB of data from PruittHealth Network. De Felice...
What defines success for ransomware actors during an attack? Breaching a victim’s network, exfiltrating valuable data, and encrypting systems are crucial components. However, the ultimate measurement of success is the actor’s ability to extort a ransom payment, which determines if they achieve their financial goals. Navigating the ransom negotiation phase, whether conducted by the victims themselves or designated recovery firms, demands a high level of expertise and a deep understanding of the attackers involved. This includes studying of the threat actor’s profile, tactics, and evolving strategies. In this complex landscape, there is no one-size-fits-all playbook for successfully managing the negotiation phase, as each ransomware group exhibits distinct behaviors and adopts new tactics shaped by many factors.
In modern web development, while cookies are the go-to method for transmitting session IDs, the .NET Framework also provides an alternative: encoding the session ID directly in the URL. This method is useful to clients that do not support cookies.
Redline Dropped Through MSIX Package, Author&colon
An error as small as a single flipped memory bit is all it takes to expose a private key.
The vulnerability occurs when there are errors during the signature generation that takes place when a client and server are establishing a connection. It affects only keys using the RSA cryptographic algorithm, which the researchers found in roughly a third of the SSH signatures they examined. That translates to roughly 1 billion signatures out of the 3.2 billion signatures examined. Of the roughly 1 billion RSA signatures, about one in a million exposed the private key of the host.
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.
Recently, I’ve been tracking LockBit ransomware group as they’ve been breaching large enterprises:
I thought it would be good to break down what is happening and how they’re doing it, since LockBit are breaching some of the world’s largest organisations — many of whom have incredibly large security budgets.
Through data allowing the tracking of ransomware operators, it has been possible to track individual targets. Recently, it has become clear they have been targeting a vulnerability in Citrix Netscaler, called CitrixBleed. Prior reading:
CacheWarp is a new software fault attack on AMD SEV-ES and SEV-SNP. It allows attackers to hijack control flow, break into encrypted VMs, and perform privilege escalation inside the VM.
A new CPU vulnerability, ‘Reptar,’ found by Google researchers, has been patched by Google and Intel. Here’s what you need to know.
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The impact of this vulnerability is demonstrated when exploited by an attacker in a multi-tenant virtualized environment, as the exploit on a guest machine causes the host machine to crash resulting in a Denial of Service to other guest machines running on the same host. Additionally, the vulnerability could potentially lead to information disclosure or privilege escalation.
A Russian and Moldovan national pled guilty to three counts of violating 18 U.S.C. § 1030(a)(5)(A) Fraud and Related Activity in Connection with Computers.
The FBI today revealed US law enforcement’s dismantlement of a botnet proxy network and its infrastructure associated with the IPStorm malware.
According to online reports, the botnet infrastructure had infected Windows systems then further expanded to infect Linux, Mac, and Android devices, victimizing computers and other electronic devices around the world, including in Asia, Europe, North America and South America.