Email Graph Analysis Detects Impersonated Suppliers When DKIM and SPF Pass
Traditional email security controls such as DKIM, SPF, and DMARC fail when an attacker has already compromised a legitimate supplier mailbox. In these cases the message arrives from the genuine server, carries a valid signature, and continues an existing thread, leaving no technical anomaly to detect.
The only reliable signal lies in the historical pattern of communication between the two parties. Mail gateway logs already contain the necessary metadata: sender, recipient, and timestamp. No message bodies or attachments are required, which simplifies legal and privacy reviews.
From Postfix logs the pairs are extracted with simple shell commands that join queue identifiers. Microsoft Exchange environments provide the same data through the Get-MessageTrace cmdlet, which should be exported daily to accumulate sufficient history.
Each external-internal address pair is profiled with counts, first and last seen dates, inbound versus outbound volume, and hourly distribution. These numbers feed five lightweight indicators:
- First contact – the address has never appeared before.
- Lookalike known – the domain is similar to a previously observed supplier domain using a split name-zone comparison that ignores hyphens.
- Dormant revived – communication resumed after more than 180 days of silence.
- One-way traffic – dozens of inbound messages with zero replies.
- Unusual hours – messages arrive outside the established working-hour pattern.
A weighted score combines the indicators so that no single weak signal triggers an alert. High scores can be surfaced as a banner inside the recipient’s mailbox or routed to the SOC for manual review.
The method breaks down for generic addresses such as info@ or sales@ and for organizations that receive fewer than several thousand external messages per day. In those environments the recommended minimum control remains a telephone callback to a known contract number before any banking details are changed.
Related articles
Scammers Abuse Google Looker Studio to Send Fraudulent Compensation Emails
Kaspersky researchers have identified a new wave of Russian-language phishing emails distributed through the legitimate Google Looker Studio service, formerly known as Google Data Studio. The messages promise compensation payments or confirm supposedly approved money transfers from financial institutions, using the platform’s scheduled report delivery feature to reach victims. Emails arrive from a genuine Google address and carry the official Data Studio branding, making them harder for security tools to block. Recipients are directed to open documents in Google Presentations or forms in Google Forms that reference fake legal changes and display state symbols before leading to scam sites. The campaign is limited to messages sent at the start or middle of each hour due to scheduling constraints in the service. Experts note that the abuse of trusted platforms increases the difficulty of automated detection and filtering.
Human-like Cursor Movements: Evading Behavioral Anti-Fraud Detection in Browser Automation
Anti-detect browser provider Aurorium explains how modern anti-fraud systems analyze mouse telemetry including coordinates, timestamps, velocity profiles, acceleration, curvature, and USB polling intervals to distinguish humans from automated scripts. Standard straight-line movements at constant speed with perfect center clicks trigger immediate alerts because they lack natural human motor patterns described by Fitts's law. The article details four key techniques to simulate realistic behavior: cubic Bezier curves with random control points for organic arcs, phased acceleration and deceleration with occasional overshoot, low-amplitude Gaussian jitter that fades near targets, and offset clicks distributed around element centers. It also stresses that JavaScript click() calls set the isTrusted flag to false, making server-side mouse events via Playwright or Puppeteer mandatory. A complete Python implementation using Playwright's page.mouse API is provided, incorporating normal distribution sampling and smoothstep easing. The guide concludes that realistic mouse mechanics must be combined with clean residential proxies and consistent browser fingerprints to remain undetected.
Excerpt from Black Hat Rust Translation Details Chapter 9 on Phishing via WebAssembly and Social Engineering
A detailed excerpt from Chapter 9 of the Russian translation of Black Hat Rust has been published on Habr.com. The chapter focuses on phishing attacks that leverage WebAssembly when traditional technical vulnerabilities cannot be exploited due to lack of skills, team resources, or time. It explains social engineering principles based on Aristotle's Rhetoric, covering Ethos for building credibility, Pathos for creating emotional connections through storytelling, and Logos for logical justification of requests. The post emphasizes that human targets are often more vulnerable than infrastructure and that persuasion techniques have remained consistent for over 2000 years. The translator notes that code examples are preserved without modernization to serve as a lesson in verifying exploits independently, referencing common issues on platforms like Exploit-DB. The full chapter and previous translations are available in the associated GitHub repository.
Lost Control Series Highlights Realistic Social Engineering Attacks Disguised as Workplace Documents
A new micro-film in the Lost Control series demonstrates how employees can be tricked into compromising their organizations by opening files that appear to be routine work documents such as layoff lists, internal notices, or tax inspection alerts. The six-minute video recreates authentic attack vectors including phishing emails, fake download sites, bundled legitimate software packages, and phishing websites, as documented in five recent cases released by China's Ministry of Public Security Cyber Security Bureau. These attacks succeed because they mimic normal business communications rather than obvious malware delivery methods. The producers recommend sharing the film internally, reviewing work group messages from the past 30 days for suspicious attachments labeled as personnel lists or official notices, and verifying any such files before opening them. Organizations whose annual security training lacks measurable improvement in employee detection rates are invited to contact Allsec for assessment. Victims who have already clicked links or transferred funds are advised to call the national anti-fraud hotline 96110 immediately. The content is AI-generated with artistic modifications based on publicly reported incidents.