Conquering Adversarial Bots and Humans to Prevent Account Takeovers

...

Camaro Dragon Hackers Strike with USB-Driven Self-Propagating Malware

The Chinese cyber espionage actor known as Camaro Dragon has been observed leveraging a new strain of self-propagating malware that spreads through compromised USB drives. "While their primary focus has traditionally been Southeast Asian countries, this latest discovery reveals their global reach...

Meta Uncovers Massive Social Media Cyber Espionage Operations Across South Asia

Three different threat actors leveraged hundreds of elaborate fictitious personas on Facebook and Instagram to target individuals located in South Asia as part of disparate attacks. "Each of these APTs relied heavily on social engineering to trick people into clicking on malicious links,...

Security Risks of AI

Stanford and Georgetown have a new report on the security risks of AI--particularly adversarial machine learning--based on a workshop they held on the topic. Jim Dempsey, one of the workshop organizers, wrote a blog post on the report: As a first step, our report recommends the inclusion of AI...

Research on AI in Adversarial Settings

New research: “Achilles Heels for AGI/ASI via Decision Theoretic Adversaries": As progress in AI continues to advance, it is important to know how advanced systems will make choices and in what ways they may fail. Machines can already outsmart humans in some domains, and understanding how to safe...

MITRE ATT&CK® Mitigations: Thwarting Cloud Threats With Preventative Policies and Controls

As IT infrastructure has become more and more sophisticated, so too have the techniques and tactics used by bad actors to gain access to your environment and sensitive information. That’s why it's essential to implement robust security measures to protect your organization. One way to do this is ...

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...

adversarial-robustness-toolbox (1.2.0), aristote-malo (1.9.5) +79 more potentially affected by CVE-2022-45198 via pillow (7.0.0)

pillow PYPI version 7.0.0 is affected by a known vulnerability. The following packages have a transitive dependency on pillow and may be impacted: - adversarial-robustness-toolbox 1.2.0 - aristote-malo 1.9.5 - auto-annotate =1.0.0, =1.0.2, =0.1.0.dev31, =1.0.1, =0.2.3, =0.0.1.25, =0.2.1, =0.0.2,...

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...