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Aleksandar Milenkoski and Juan Andres Guerrero-Saade from SentinelOne's SentinelLabs join Dave to discuss their research "Operation Tainted Love | Chinese APTs Target Telcos in New Attacks." Researchers found initial phases of attacks against telecommunication providers in the Middle East in Q1 in 2023.
The research states "We assess that this activity represents an evolution of tooling associated with Operation Soft Cell." While the exact grouping is unclear, researchers think it is highly likely that the threat actor is a Chinese cyberespionage group in the nexus of Gallium and APT41.
The research can be found here:
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Ryan Robinson from Intezer to discuss his team's work on "Phishing Campaign Targets Chinese Nuclear Energy Industry." The research team discovered activity targeting the nuclear energy industry in China. Researchers attributed the activity to Bitter APT, a South Asian APT that is known to target the energy, manufacturing and government sectors, mainly in Pakistan, China, Bangladesh, and Saudi Arabia.
The article states "We identified seven emails pretending to be from the Embassy of Kyrgyzstan, being sent to recipients in the nuclear energy industry in China. In some emails, people and entities in academia are also targeted, also related to nuclear energy." By luring recipients in, invites them to join conferences on subjects that are relevant to them, they are then able to social engineer the victims.
The research can be found here:
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This week our guests are, Larry Cashdollar, Chad Seaman and Allen West from Akamai Technologies, and they are discussing their research on "Uncovering HinataBot: A Deep Dive into a Go-Based Threat." The team discovered a new Go-based, DDoS-focused botnet. They found it was named after the popular anime show "Naruto," they are calling it "HinataBot"
In the research it says "HinataBot was seen being distributed during the first three months of 2023 and is actively being updated by the authors/operators." Akamai was able to get a deep look into the malware works by using a combination of reverse engineering the malware and imitating the command and control (C2) server.
The research can be found here:
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Shiran Guez from Akamai sits down with Dave to discuss their research on "Chatbots, Celebrities, and Victim Retargeting and Why Crypto Giveaway Scams Are Still So Successful." Researchers at Akamai have been on the lookout for crypto giveaway scams. These scams have been impersonating celebrities and brands, most notably Elon Musk and his associated companies.
The research states "the scams are delivered through various social media platforms as well as direct messaging apps such as WhatsApp or Telegram." These scams have helped add to the existing damages that exceed $1 billion caused by crypto fraud.
The research can be found here:
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Scott Fanning, Senior Director of Product Management, Cloud Security at CrowdStrike, sits down to talk about the first-ever Dero cryptojacking operation targeting Kubernetes infrastructure. The research defines Dero as "a cryptocurrency that claims to offer improved privacy, anonymity and higher and faster monetary rewards compared to Monero, which is a commonly used cryptocurrency in cryptojacking operations."
CrowdStrike was the first organization to discover Dero, and has been observing the cryptojacking operation since the beginning of February 2023. The operation focuses mainly on locating Kubernetes clusters with anonymous access enabled on a Kubernetes API and listening on non-standard ports accessible from the internet.
The research can be found here:
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Sahar Abdelnabi from CISPA Helmholtz Center for Information Security sits down with Dave to discuss their work on "A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models." There is currently a large advance in the capabilities of Large Language Models or LLMs, as well as being integrated into many systems, including integrated development environments (IDEs) and search engines.
The research states, "The functionalities of current LLMs can be modulated via natural language prompts, while their exact internal functionality remains implicit and unassessable." This could lead them to be susceptible to targeted adversarial prompting, as well as making them adaptable to even unseen tasks. Researchers demonstrated these said attacks to see if the LLMs needed new techniques for more defense.
The research can be found here:
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Dick O'Brien from Symantec’s Threat Hunter team discusses their research on "Blackfly - Espionage Group Targets Materials Technology." Researchers say the Blackfly espionage group (aka APT41), has been mounting attacks against Asian materials and composite organizations in attempts to steal intellectual property.
This group has been known as one of the longest known Chinese advanced persistent threat (APT) groups since at least 2010. The research shares that "early attacks were distinguished by the use of the PlugX/Fast (Backdoor.Korplug), Winnti/Pasteboy (Backdoor.Winnti), and Shadowpad (Backdoor.Shadowpad) malware families."
The research can be found here:
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On this episode, Jérôme Segura, senior threat researcher at Malwarebytes, shares his team's work, "WordPress sites backdoored with ad fraud plugin." WordPress is an immensely popular content management system (CMS) powering over 43% of all websites. Many webmasters will monetize their sites by running ads and need to draw particular attention to search engine optimization (SEO) techniques to maximize their revenues.
The Malwarebytes team discovered a few dozen WordPress blogs using the same plugin that mimics human activity by automatically scrolling a page and following links within it, all the while a number of ads were being loaded and refreshed. The blogs would only exhibit this invalid traffic behavior when launched from a specific URL created by this plugin, otherwise they appeared completely legitimate.
The research can be found here:
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Bar Block, Threat Intelligence Researcher at Deep Instinct, joins Dave to discuss their work on "ChatGPT and Malware - Making Your Malicious Wishes Come True." Deep Instinct goes into depth on just how dangerous ChatGPT can be in the wrong hands as well as how artificial intelligence is better at creating malware than providing ways to detect it.
Researchers go on to explain how the AI app can be used in the wrong hands saying "Examples of malicious content created by the AI tool, such as phishing messages, information stealers, and encryption software, have all been shared online."
The research can be found here:
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Ron Masas of Imperva discusses their work, the "Google Chrome “SymStealer” Vulnerability. How to Protect Your Files from Being Stolen." By reviewing the ways the browser handles file systems, specifically searching for common vulnerabilities relating to how browsers process symlinks, the Imperva Red Team discovered that when files are dropped onto a file input, it’s handled differently.
Dubbing it as CVE-2022-40764, researchers found a vulnerability that "allowed for the theft of sensitive files, such as crypto wallets and cloud provider credentials." In result, over 2.5 billion users of Google Chrome and Chromium-based browsers were affected.
The research can be found here:
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