[SANS ISC] A Backdoor with Smart Screenshot Capability

I published the following diary on isc.sans.edu: “A Backdoor with Smart Screenshot Capability“: Today, everything is “smart” or “intelligent”. We have smartphones, smart cars, smart doorbells, etc. Being “smart” means performing actions depending on the context, the environment, or user actions. For a while, backdoors and trojans have implemented screenshot

[SANS ISC] Do you collect “Observables” or “IOCs”?

I published the following diary on isc.sans.edu: “Do you collect “Observables” or “IOCs”?“: Indicators of Compromise, or IOCs, are key elements in blue team activities. IOCs are mainly small pieces of technical information that have been collected during investigations, threat hunting activities or malware analysis. About the last example, the malware analyst’s goal

[SANS ISC] Malicious Python Script Behaving Like a Rubber Ducky

I published the following diary on isc.sans.edu: “Malicious Python Script Behaving Like a Rubber Ducky“: Last week, it was SANSFIRE in Washington where I presented a SANS@Night talk about malicious Python scripts in Windows environment. I’m still looking for more fresh meat and, yesterday, I found another interesting one. Do you

[SANS ISC] Malicious PowerShell Targeting Cryptocurrency Browser Extensions

I published the following diary on isc.sans.edu: “Malicious PowerShell Targeting Cryptocurrency Browser Extensions“: While hunting, I found an interesting PowerShell script. After a quick check, my first conclusion was that it is again a simple info stealer. After reading the code more carefully, the conclusion was different: It targets crypto-currency browser

[SANS ISC] A ‘Zip Bomb’ to Bypass Security Controls & Sandboxes

I published the following diary on isc.sans.edu: “A ‘Zip Bomb’ to Bypass Security Controls & Sandboxes“: Yesterday, I analyzed a malicious archive for a customer. It was delivered to the mailbox of a user who, hopefully, was security-aware and reported it. The payload passed through the different security layers based on big

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