Author: sowerb1

[This is a Guest Diary contributed by John Moutos] Overview In this post, I’m going over my analysis of DynoWiper, a wiper family that was discovered during attacks against Polish energy companies in late December of 2025. ESET Research [1] and CERT Polska [2] have linked the activity and supporting malware to infrastructure and tradecraft…

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A few days ago I wrote a diary called “Malicious Script Delivering More Maliciousness”[1]. In the malware infection chain, there was a JPEG picture that embedded the last payload delimited with “BaseStart-” and “-BaseEnd” tags. Today, I discovered anoher campaign that relies exactly on the same technique. It started with an attachment called “TELERADIO_IB_OBYEKTLRIN_BURAXILIS_FORMASI.xIs” (SHA256:1bf3ec53ddd7399cdc1faf1f0796c5228adc438b6b7fa2513399cdc0cb865962).…

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This morning, I received an interesting phishing email. I’ve a “love & hate” relation with such emails because I always have the impression to lose time when reviewing them but sometimes it’s a win because you spot interesting “TTPs” (“tools, techniques &  procedures”). Maybe one day, I’ll try to automate this process! Today’s email targets Metamask[1]…

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In 2022 (time flies!), I wrote a diary about the 32-bits VS. 64-bits malware landscape[1]. It demonstrated that, despite the growing number of 64-bits computers, the “old-architecture” remained the standard. In the SANS malware reversing training (FOR610[2]), we quickly cover the main differences between the two architectures. One of the conclusions is that 32-bits code is…

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Unstructured text to interactive knowledge graph via LLM & SPO triplet extraction Courtesy of TLDR InfoSec Launches & Tools again, another fine discovery in Robert McDermott’s AI Powered Knowledge Graph Generator. Robert’s system takes unstructured text, uses your preferred LLM and extracts knowledge in the form of Subject-Predicate-Object (SPO) triplets, then visualizes the relationships as an interactive knowledge graph.[1]…

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