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A new ongoing malware campaign has been observed distributing three different stealers, such as  CryptBot ,  LummaC2 , and  Rhadamanthys  hosted on Content Delivery Network (CDN) cache domains since at least February 2024. Cisco Talos has attributed the activity with moderate confidence to a threat actor tracked as  CoralRaider , a suspected Vietnamese-origin group that came to light earlier this month. This assessment is based on "several overlaps in tactics, techniques, and procedures (TTPs) of CoralRaider's Rotbot campaign, including the initial attack vector of the Windows Shortcut file, intermediate PowerShell decryptor and payload download scripts, the FoDHelper technique used to bypass User Access Controls (UAC) of the victim machine," the company said. Targets of the campaign span various business verticals across geographies, including the U.S., Nigeria, Pakistan, Ecuador, Germany, Egypt, the U.K., Poland, the Philippines, Norway, Japan, Syria, and Turkey.

The Russia-linked nation-state threat actor tracked as  APT28  weaponized a security flaw in the Microsoft Windows Print Spooler component to deliver a previously unknown custom malware called GooseEgg. The post-compromise tool, which is said to have been used since at least June 2020 and possibly as early as April 2019, leveraged a now-patched flaw that allowed for privilege escalation (CVE-2022-38028, CVSS score: 7.8). It was  addressed  by Microsoft as part of updates released in October 2022, with the U.S. National Security Agency (NSA) credited for reporting the flaw at the time. According to new findings from the tech giant's threat intelligence team,  APT28  – also called Fancy Bear and Forest Blizzard (formerly Strontium) – weaponized the bug in attacks targeting Ukrainian, Western European, and North American government, non-governmental, education, and transportation sector organizations. "Forest Blizzard has used the tool [...] to exploit the CVE-2022-38028 vu

It comes as no surprise that today's cyber threats are orders of magnitude more complex than those of the past. And the ever-evolving tactics that attackers use demand the adoption of better, more holistic and consolidated ways to meet this non-stop challenge. Security teams constantly look for ways to reduce risk while improving security posture, but many approaches offer piecemeal solutions – zeroing in on one particular element of the evolving threat landscape challenge – missing the forest for the trees.  In the last few years, Exposure Management has become known as a comprehensive way of reigning in the chaos, giving organizations a true fighting chance to reduce risk and improve posture. In this article I'll cover what Exposure Management is, how it stacks up against some alternative approaches and why building an Exposure Management program should be on  your 2024 to-do list. What is Exposure Management?  Exposure Management is the systematic identification, evaluation,

New research has found that the DOS-to-NT path conversion process could be exploited by threat actors to achieve rootkit-like capabilities to conceal and impersonate files, directories, and processes. "When a user executes a function that has a path argument in Windows, the DOS path at which the file or folder exists is converted to an NT path," SafeBreach security researcher Or Yair  said  in an analysis, which was  presented  at the Black Hat Asia conference last week. "During this conversion process, a known issue exists in which the function removes trailing dots from any path element and any trailing spaces from the last path element. This action is completed by most user-space APIs in Windows." These so-called MagicDot paths allow for rootkit-like functionality that's accessible to any unprivileged user, who could then weaponize them to carry out a series of malicious actions without having admin permissions and remain undetected. They include the ab

Microsoft has revealed that North Korea-linked state-sponsored cyber actors have begun to use artificial intelligence (AI) to make their operations more effective and efficient. "They are learning to use tools powered by AI large language models (LLM) to make their operations more efficient and effective," the tech giant  said  in its latest report on East Asia hacking groups. The company specifically highlighted a group named  Emerald Sleet  (aka Kimusky or TA427), which has been observed using LLMs to bolster spear-phishing efforts aimed at Korean Peninsula experts. The adversary is also said to have relied on the latest advancements in AI to research vulnerabilities and conduct reconnaissance on organizations and experts focused on North Korea, joining  hacking crews from China , who have turned to AI-generated content for influence operations. It further employed LLMs to troubleshoot technical issues, conduct basic scripting tasks, and draft content for spear-phishi

A new information stealer has been found leveraging Lua bytecode for added stealth and sophistication, findings from McAfee Labs reveal. The cybersecurity firm has assessed it to be a variant of a known malware called RedLine Stealer owing to the fact that the command-and-control (C2) server  IP address  has been previously identified as associated with the malware. RedLine Stealer,  first documented  in March 2020, is typically delivered via email and malvertising campaigns, either directly or via  exploit kits  and loader malware like  dotRunpeX  and  HijackLoader . The off-the-shelf malware is capable of harvesting information from cryptocurrency wallets, VPN software, and web browsers, such as saved credentials, autocomplete data, credit card information, and geolocations based on the victims' IP addresses. Over the years, RedLine Stealer has been co-opted by several threat actors into their attack chains, making it a prevalent strain spanning North America, South America,