Prompt Injection Attacks on Large Language Models

This is a good survey on prompt injection attacks on large language models like ChatGPT. Abstract: We are currently witnessing dramatic advances in the capabilities of Large Language Models LLMs. They are already being adopted in practice and integrated into many systems, including integrated...

How to Think Like a Hacker and Stay Ahead of Threats

To succeed as a cybersecurity analyst, you need to understand the traits, values, and thought processes of hackers, along with the tools they use to launch their attacks. During a webinar called The Hacker Mindset, a Red Team Researcher shared how you can use some of these tools for your own...

How to Think Like a Hacker and Stay Ahead of Threats

To succeed as a cybersecurity analyst, you need to understand the traits, values, and thought processes of hackers, along with the tools they use to launch their attacks. During a webinar called The Hacker Mindset, a Red Team Researcher shared how you can use some of these tools for your own...

Attacking Machine Learning Systems

The field of machine learning ML security--and corresponding adversarial ML--is rapidly advancing as researchers develop sophisticated techniques to perturb, disrupt, or steal the ML model or data. It’s a heady time; because we know so little about the security of these systems, there are many...

Google Identifies 34 Cracked Versions of Popular Cobalt Strike Hacking Toolkit in the Wild

Google Cloud last week disclosed that it identified 34 different hacked release versions of the Cobalt Strike tool in the wild, the earliest of which shipped in November 2012. The versions, spanning 1.44 to 4.7, add up to a total of 275 unique JAR files, according to findings from the Google Clou...

Threat hunting with MITRE ATT&CK and Wazuh

Threat hunting is the process of looking for malicious activity and its artifacts in a computer system or network. Threat hunting is carried out intermittently in an environment regardless of whether or not threats have been discovered by automated security solutions. Some threat actors may stay...

Researchers Detail New Malware Campaign Targeting Indian Government Employees

The Transparent Tribe threat actor has been linked to a new campaign aimed at Indian government organizations with trojanized versions of a two-factor authentication solution called Kavach. "This group abuses Google advertisements for the purpose of malvertising to distribute backdoored versions ...

New Chinese Cyberespionage Group Targeting IT Service Providers and Telcos

Telecommunications and IT service providers in the Middle East and Asia are being targeted by a previously undocumented Chinese-speaking threat group dubbed WIP19. The espionage-related attacks are characterized by the use of a stolen digital certificate issued by a Korean company called DEEPSoft...

Air-Gapped Devices Can Send Covert Morse Signals via Network Card LEDs

A security researcher who has a long line of work demonstrating novel data exfiltration methods from air-gapped systems has come up with yet another technique that involves sending Morse code signals via LEDs on network interface cards NICs. The approach, codenamed ETHERLED, comes from Dr...

Researchers Find Bluetooth Signals Can be Fingerprinted to Track Smartphones

A new research undertaken by a group of academics from the University of California San Diego has revealed for the first time that Bluetooth signals can be fingerprinted to track smartphones and therefore, individuals. The identification, at its core, hinges on imperfections in the Bluetooth...

SideWinder Hackers Launched Over a 1,000 Cyber Attacks Over the Past 2 Years

An "aggressive" advanced persistent threat APT group known as SideWinder has been linked to over 1,000 new attacks since April 2020. "Some of the main characteristics of this threat actor that make it stand out among the others, are the sheer number, high frequency and persistence of their attack...

Manipulating Machine-Learning Systems through the Order of the Training Data

Yet another adversarial ML attack: Most deep neural networks are trained by stochastic gradient descent. Now “stochastic” is a fancy Greek word for “random”; it means that the training data are fed into the model in random order. So what happens if the bad guys can cause the order to be not rando...

Fronton: Russian IoT Botnet Designed to Run Social Media Disinformation Campaigns

Fronton, a distributed denial-of-service DDoS botnet that came to light in March 2020, is much more powerful than previously thought, per the latest research. "Fronton is a system developed for coordinated inauthentic behavior on a massive scale," threat intelligence firm Nisos said in a report...

Undetectable Backdoors in Machine-Learning Models

New paper: "Planting Undetectable Backdoors in Machine Learning Models": Abstract: Given the computational cost and technical expertise required to train machine learning models, users may delegate the task of learning to a service provider. We show how a malicious learner can plant an undetectab...

Microsoft Obtains Court Order to Take Down Domains Used to Target Ukraine

Microsoft on Thursday disclosed that it obtained a court order to take control of seven domains used by APT28, a state-sponsored group operated by Russia's military intelligence service, with the goal of neutralizing its attacks on Ukraine. "We have since re-directed these domains to a sinkhole...

Iran's Lyceum Hackers Target Telecoms, ISPs in Israel, Saudi Arabia, and Africa

A state-sponsored threat actor allegedly affiliated with Iran has been linked to a series of targeted attacks aimed at internet service providers ISPs and telecommunication operators in Israel, Morocco, Tunisia, and Saudi Arabia, as well as a ministry of foreign affairs MFA in Africa, new finding...

The features all Incident Response Plans need to have

By Paul Lee, Yuri Kramarz and Martin Lee. Adversaries are always growing their capabilities and changing their tactics, leading to a greater number of incidents and data breaches. This is supported by organizations such as ITRC who reports that the number of data breaches in 2021 is already...

CVE-2021-42694

An issue was discovered in the character definitions of the Unicode Specification through 14.0. The specification allows an adversary to produce source code identifiers such as function names using homoglyphs that render visually identical to a target identifier. Adversaries can leverage this to...

CVE-2021-42694

An issue was discovered in the character definitions of the Unicode Specification through 14.0. The specification allows an adversary to produce source code identifiers such as function names using homoglyphs that render visually identical to a target identifier. Adversaries can leverage this to...

Security feature bypass

DISPUTED An issue was discovered in the character definitions of the Unicode Specification through 14.0. The specification allows an adversary to produce source code identifiers such as function names using homoglyphs that render visually identical to a target identifier. Adversaries can leverage...