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2024-05-14 06:00:46 | Arrêt de cybersécurité du mois: les attaques d'identité qui ciblent la chaîne d'approvisionnement Cybersecurity Stop of the Month: Impersonation Attacks that Target the Supply Chain (lien direct) |
This blog post is part of a monthly series, Cybersecurity Stop of the Month, which explores the ever-evolving tactics of today\'s cybercriminals. It focuses on the critical first three steps in the attack chain in the context of email threats. The goal of this series is to help you understand how to fortify your defenses to protect people and defend data against emerging threats in today\'s dynamic threat landscape. The critical first three steps of the attack chain-reconnaissance, initial compromise and persistence. So far in this series, we have examined these types of attacks: Supplier compromise EvilProxy SocGholish eSignature phishing QR code phishing Telephone-oriented attack delivery (TOAD) Payroll diversion MFA manipulation Supply chain compromise Multilayered malicious QR code attack In this post, we will look at how adversaries use impersonation via BEC to target the manufacturing supply chain. Background BEC attacks are sophisticated schemes that exploit human vulnerabilities and technological weaknesses. A bad actor will take the time to meticulously craft an email that appears to come from a trusted source, like a supervisor or a supplier. They aim to manipulate the email recipient into doing something that serves the attacker\'s interests. It\'s an effective tactic, too. The latest FBI Internet Crime Report notes that losses from BEC attacks exceeded $2.9 billion in 2023. Manufacturers are prime targets for cybercriminals for these reasons: Valuable intellectual property. The theft of patents, trade secrets and proprietary processes can be lucrative. Complex supply chains. Attackers who impersonate suppliers can easily exploit the interconnected nature of supply chains. Operational disruption. Disruption can cause a lot of damage. Attackers can use it for ransom demands, too. Financial fraud. Threat actors will try to manipulate these transactions so that they can commit financial fraud. They may attempt to alter bank routing information as part of their scheme, for example. The scenario Proofpoint recently caught a threat actor impersonating a legitimate supplier of a leading manufacturer of sustainable fiber-based packaging products. Having compromised the supplier\'s account, the imposter sent an email providing the manufacturer with new banking details, asking that payment for an invoice be sent to a different bank account. If the manufacturer had complied with the request, the funds would have been stolen. The threat: How did the attack happen? Here is a closer look at how the attack unfolded: 1. The initial message. A legitimate supplier sent an initial outreach email from their account to the manufacturing company using an email address from their official account. The message included details about a real invoice that was pending payment. The initial email sent from the supplier. 2. The deceptive message. Unfortunately, subsequent messages were not sent from the supplier, but from a threat actor who was pretending to work there. While this next message also came from the supplier\'s account, the account had been compromised by an attacker. This deceptive email included an attachment that included new bank payment routing information. Proofpoint detected and blocked this impersonation email. In an attempt to get a response, the threat actor sent a follow-up email using a lookalike domain that ended in “.cam” instead of “.com.” Proofpoint also condemned this message. An email the attacker sent to mimic the supplier used a lookalike domain. Detection: How did Proofpoint prevent this attack? Proofpoint has a multilayered detection stack that uses a sophisticated blend of artificial intelligence (AI) and machine learning (ML) detection | Ransomware Data Breach Tool Vulnerability Threat | ChatGPT | ★★ |
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2024-05-06 07:54:03 | Genai alimente la dernière vague des menaces de messagerie modernes GenAI Is Powering the Latest Surge in Modern Email Threats (lien direct) |
Generative artificial intelligence (GenAI) tools like ChatGPT have extensive business value. They can write content, clean up context, mimic writing styles and tone, and more. But what if bad actors abuse these capabilities to create highly convincing, targeted and automated phishing messages at scale? No need to wonder as it\'s already happening. Not long after the launch of ChatGPT, business email compromise (BEC) attacks, which are language-based, increased across the globe. According to the 2024 State of the Phish report from Proofpoint, BEC emails are now more personalized and convincing in multiple countries. In Japan, there was a 35% increase year-over-year for BEC attacks. Meanwhile, in Korea they jumped 31% and in the UAE 29%. It turns out that GenAI boosts productivity for cybercriminals, too. Bad actors are always on the lookout for low-effort, high-return modes of attack. And GenAI checks those boxes. Its speed and scalability enhance social engineering, making it faster and easier for attackers to mine large datasets of actionable data. As malicious email threats increase in sophistication and frequency, Proofpoint is innovating to stop these attacks before they reach users\' inboxes. In this blog, we\'ll take a closer look at GenAI email threats and how Proofpoint semantic analysis can help you stop them. Why GenAI email threats are so dangerous Verizon\'s 2023 Data Breach Investigations Report notes that three-quarters of data breaches (74%) involve the human element. If you were to analyze the root causes behind online scams, ransomware attacks, credential theft, MFA bypass, and other malicious activities, that number would probably be a lot higher. Cybercriminals also cost organizations over $50 billion in total losses between October 2013 and December 2022 using BEC scams. That represents only a tiny fraction of the social engineering fraud that\'s happening. Email is the number one threat vector, and these findings underscore why. Attackers find great success in using email to target people. As they expand their use of GenAI to power the next generation of email threats, they will no doubt become even better at it. We\'re all used to seeing suspicious messages that have obvious red flags like spelling errors, grammatical mistakes and generic salutations. But with GenAI, the game has changed. Bad actors can ask GenAI to write grammatically perfect messages that mimic someone\'s writing style-and do it in multiple languages. That\'s why businesses around the globe now see credible malicious email threats coming at their users on a massive scale. How can these threats be stopped? It all comes down to understanding a message\'s intent. Stop threats before they\'re delivered with semantic analysis Proofpoint has the industry\'s first predelivery threat detection engine that uses semantic analysis to understand message intent. Semantic analysis is a process that is used to understand the meaning of words, phrases and sentences within a given context. It aims to extract the underlying meaning and intent from text data. Proofpoint semantic analysis is powered by a large language model (LLM) engine to stop advanced email threats before they\'re delivered to users\' inboxes in both Microsoft 365 and Google Workspace. It doesn\'t matter what words are used or what language the email is written in. And the weaponized payload that\'s included in the email (e.g., URL, QR code, attached file or something else) doesn\'t matter, either. With Proofpoint semantic analysis, our threat detection engines can understand what a message means and what attackers are trying to achieve. An overview of how Proofpoint uses semantic analysis. How it works Proofpoint Threat Protection now includes semantic analysis as an extra layer of threat detection. Emails must pass through an ML-based threat detection engine, which analyzes them at a deeper level. And it does | Ransomware Data Breach Tool Vulnerability Threat | ChatGPT | ★★★ |
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