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Cybersecurity researchers are warning of a "widespread and ongoing" SMS phishing campaign that's been targeting toll road users in the United States for financial theft since mid-October 2024. "The toll road smishing attacks are being carried out by multiple financially motivated threat actors using the smishing kit developed by 'Wang Duo Yu,'" Cisco Talos researchers Azim Khodjibaev, Chetan Raghuprasad, and Joey Chen assessed with moderate confidence. The phishing campaigns , per the company, impersonate U.S. electronic toll collection systems like E-ZPass, sending SMS messages and Apple iMessages to individuals across Washington, Florida, Pennsylvania, Virginia, Texas, Ohio, Illinois, and Kansas about an unpaid toll and clicking on a fake link sent in the chat. It's worth noting some aspects of the toll phishing campaign were previously highlighted by security journalist Brian Krebs in January 2025, with the activity traced back to a China-b...

A new multi-stage attack has been observed delivering malware families like Agent Tesla variants, Remcos RAT, and XLoader. "Attackers increasingly rely on such complex delivery mechanisms to evade detection, bypass traditional sandboxes, and ensure successful payload delivery and execution," Palo Alto Networks Unit 42 researcher Saqib Khanzada said in a technical write-up of the campaign. The starting point of the attack is a deceptive email that poses as an order request to deliver a malicious 7-zip archive attachment, which contains a JavaScript encoded (.JSE) file. The phishing email, observed in December 2024, falsely claimed that a payment had been made and urged the recipient to review an attached order file. Launching the JavaScript payload triggers the infection sequence, with the file acting as a downloader for a PowerShell script from an external server. The script, in turn, houses a Base64-encoded payload that's subsequently deciphered, written to the Wi...

The problem is simple: all breaches start with initial access, and initial access comes down to two primary attack vectors – credentials and devices. This is not news; every report you can find on the threat landscape depicts the same picture.  The solution is more complex. For this article, we'll focus on the device threat vector. The risk they pose is significant, which is why device management tools like Mobile Device Management (MDM) and Endpoint Detection and Response (EDR) are essential components of an organization's security infrastructure. However, relying solely on these tools to manage device risk actually creates a false sense of security. Instead of the blunt tools of device management, organizations are looking for solutions that deliver device trust . Device trust provides a comprehensive, risk-based approach to device security enforcement, closing the large gaps left behind by traditional device management solutions. Here are 5 of those limitations and how to ov...

Your employees didn't mean to expose sensitive data. They just wanted to move faster. So they used ChatGPT to summarize a deal. Uploaded a spreadsheet to an AI-enhanced tool. Integrated a chatbot into Salesforce. No big deal—until it is. If this sounds familiar, you're not alone. Most security teams are already behind in detecting how AI tools are quietly reshaping their SaaS environments. And by the time an alert is triggered—if it even exists—damage may already be done. This Isn't a Hypothetical Problem. It's Happening Now. AI adoption inside organizations is no longer strategic. It's spontaneous. Employees are experimenting, connecting, automating—and bypassing security while doing it. AI systems are becoming embedded in your SaaS stack without visibility or oversight. And it's creating a new class of shadow integrations—ones that don't show up in traditional threat models. If your current defenses rely on manual tracking, policy enforcement, or user education alone, you'r...

Cybersecurity researchers are warning of continued risks posed by a distributed denial-of-service (DDoS) malware known as XorDDoS , with 71.3 percent of the attacks between November 2023 and February 2025 targeting the United States. "From 2020 to 2023, the XorDDoS trojan has increased significantly in prevalence," Cisco Talos researcher Joey Chen said in a Thursday analysis.  "This trend is not only due to the widespread global distribution of the XorDDoS trojan but also an uptick in malicious DNS requests linked to its command-and-control (C2) infrastructure. In addition to targeting commonly exposed Linux machines, the trojan has expanded its reach to Docker servers, converting infected hosts into bots." Nearly 42 percent of the compromised devices are located in the United States, followed by Japan, Canada, Denmark, Italy, Morocco, and China. XorDDoS is a well-known malware that has a track record of striking Linux systems for over a decade. In May 2022...

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Thursday added a medium-severity security flaw impacting Microsoft Windows to its Known Exploited Vulnerabilities ( KEV ) catalog, following reports of active exploitation in the wild. The vulnerability, assigned the CVE identifier CVE-2025-24054 (CVSS score: 6.5), is a Windows New Technology LAN Manager ( NTLM ) hash disclosure spoofing bug that was patched by Microsoft last month as part of its Patch Tuesday updates. NTLM is a legacy authentication protocol that Microsoft officially deprecated last year in favor of Kerberos. In recent years, threat actors have found various methods to exploit the technology, such as pass-the-hash and relay attacks, to extract NTLM hashes for follow-on attacks. "Microsoft Windows NTLM contains an external control of file name or path vulnerability that allows an unauthorized attacker to perform spoofing over a network," CISA said. In a bulletin published in March, Mi...

The China-linked threat actor known as Mustang Panda has been attributed to a cyber attack targeting an unspecified organization in Myanmar with previously unreported tooling, highlighting continued effort by the threat actors to increase the sophistication and effectiveness of their malware. This includes updated versions of a known backdoor called TONESHELL , as well as a new lateral movement tool dubbed StarProxy, two keyloggers codenamed PAKLOG, CorKLOG, and an Endpoint Detection and Response (EDR) evasion driver referred to as SplatCloak . "TONESHELL, a backdoor used by Mustang Panda, has been updated with changes to its FakeTLS command-and-control (C2) communication protocol as well as to the methods for creating and storing client identifiers," Zscaler ThreatLabz researcher Sudeep Singh said in a two-part analysis . Mustang Panda, also known as BASIN, Bronze President, Camaro Dragon, Earth Preta, HoneyMyte, and RedDelta, is a China-aligned state-sponsored threat ...

Multiple state-sponsored hacking groups from Iran, North Korea, and Russia have been found leveraging the increasingly popular ClickFix social engineering tactic to deploy malware over a three-month period from late 2024 through the beginning of 2025. The phishing campaigns adopting the strategy have been attributed to clusters tracked as TA427 (aka Kimsuky), TA450 (aka MuddyWater), UNK_RemoteRogue, and TA422 (aka APT28). ClickFix has been an initial access technique primarily affiliated with cybercrime groups, although the effectiveness of the approach has led to it also being adopted by nation-state groups. "The incorporation of ClickFix is not revolutionizing the campaigns carried out by TA427, TA450, UNK_RemoteRogue, and TA422 but instead is replacing the installation and execution stages in existing infection chains," enterprise security firm Proofpoint said in a report published today. ClickFix , in a nutshell, refers to a sneaky technique that tricks users int...

Talking about AI: Definitions Artificial Intelligence (AI) — AI refers to the simulation of human intelligence in machines, enabling them to perform tasks that typically require human intelligence, such as decision-making and problem-solving. AI is the broadest concept in this field, encompassing various technologies and methodologies, including Machine Learning (ML) and Deep Learning. Machine Learning (ML) — ML is a subset of AI that focuses on developing algorithms and statistical models that allow machines to learn from and make predictions or decisions based on data. ML is a specific approach within AI, emphasizing data-driven learning and improvement over time. Deep Learning (DL) — Deep Learning is a specialized subset of ML that uses neural networks with multiple layers to analyze and interpret complex data patterns. This advanced form of ML is particularly effective for tasks such as image and speech recognition, making it a crucial component of many AI applications. Larg...

A critical security vulnerability has been disclosed in the Erlang/Open Telecom Platform (OTP) SSH implementation that could permit an attacker to execute arbitrary code sans any authentication under certain conditions. The vulnerability, tracked as CVE-2025-32433 , has been given the maximum CVSS score of 10.0. "The vulnerability allows an attacker with network access to an Erlang/OTP SSH server to execute arbitrary code without prior authentication," Ruhr University Bochum researchers Fabian Bäumer, Marcus Brinkmann, Marcel Maehren, and Jörg Schwenk said . The issue stems from improper handling of SSH protocol messages that essentially permit an attacker to send connection protocol messages prior to authentication. Successful exploitation of the shortcomings could result in arbitrary code execution in the context of the SSH daemon . Further exacerbating the risk, if the daemon process is running as root, it enables the attacker to have full control of the device, in ...

Blockchain is best known for its use in cryptocurrencies like Bitcoin, but it also holds significant applications for online authentication. As businesses in varying sectors increasingly embrace blockchain-based security tools, could the technology one day replace passwords? How blockchain works  Blockchain is a secure way to maintain, encrypt, and exchange digital records of transactions. Its security benefits stem from its decentralized nature: this distributed ledger can be accessed by participants across various nodes , and is unalterable. All users retain control as a group, meaning no single person can change the ledger. How could this provide security benefits? One advantage is the ability to create a 'self-sovereign ID' that alters the way that a user identifies themselves online. Essentially, it creates a private ID for a user that they control, rather than relying on a centralized institution : they can logon to a particular website or service using their identity on...