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2024-04-29 14:00:00 | De l'assistant à l'analyste: la puissance de Gemini 1.5 Pro pour l'analyse des logiciels malveillants From Assistant to Analyst: The Power of Gemini 1.5 Pro for Malware Analysis (lien direct) |
Executive Summary A growing amount of malware has naturally increased workloads for defenders and particularly malware analysts, creating a need for improved automation and approaches to dealing with this classic threat. With the recent rise in generative AI tools, we decided to put our own Gemini 1.5 Pro to the test to see how it performed at analyzing malware. By providing code and using a simple prompt, we asked Gemini 1.5 Pro to determine if the file was malicious, and also to provide a list of activities and indicators of compromise. We did this for multiple malware files, testing with both decompiled and disassembled code, and Gemini 1.5 Pro was notably accurate each time, generating summary reports in human-readable language. Gemini 1.5 Pro was even able to make an accurate determination of code that - at the time - was receiving zero detections on VirusTotal. In our testing with other similar gen AI tools, we were required to divide the code into chunks, which led to vague and non-specific outcomes, and affected the overall analysis. Gemini 1.5 Pro, however, processed the entire code in a single pass, and often in about 30 to 40 seconds. Introduction The explosive growth of malware continues to challenge traditional, manual analysis methods, underscoring the urgent need for improved automation and innovative approaches. Generative AI models have become invaluable in some aspects of malware analysis, yet their effectiveness in handling large and complex malware samples has been limited. The introduction of Gemini 1.5 Pro, capable of processing up to 1 million tokens, marks a significant breakthrough. This advancement not only empowers AI to function as a powerful assistant in automating the malware analysis workflow but also significantly scales up the automation of code analysis. By substantially increasing the processing capacity, Gemini 1.5 Pro paves the way for a more adaptive and robust approach to cybersecurity, helping analysts manage the asymmetric volume of threats more effectively and efficiently. Traditional Techniques for Automated Malware Analysis The foundation of automated malware analysis is built on a combination of static and dynamic analysis techniques, both of which play crucial roles in dissecting and understanding malware behavior. Static analysis involves examining the malware without executing it, providing insights into its code structure and unobfuscated logic. Dynamic analysis, on the other hand, involves observing the execution of the malware in a controlled environment to monitor its behavior, regardless of obfuscation. Together, these techniques are leveraged to gain a comprehensive understanding of malware. Parallel to these techniques, AI and machine learning (ML) have increasingly been employed to classify and cluster malware based on behavioral patterns, signatures, and anomalies. These methodologies have ranged from supervised learning, where models are trained on labeled datasets, to unsupervised learning for clustering, which identifies patterns without predefined labels to group similar malware. | Malware Hack Tool Vulnerability Threat Studies Prediction Cloud Conference | Wannacry | ★★★ |
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2017-08-11 08:00:00 | APT28 cible le secteur de l'hôtellerie, présente une menace pour les voyageurs APT28 Targets Hospitality Sector, Presents Threat to Travelers (lien direct) |
Fireeye a une confiance modérée qu'une campagne ciblant le secteur de l'hôtellerie est attribuée à l'acteur russe apt28 .Nous pensons que cette activité, qui remonte au moins en juillet 2017, était destinée à cibler les voyageurs dans des hôtels à travers l'Europe et le Moyen-Orient.L'acteur a utilisé plusieurs techniques notables dans ces incidents tels que renifler les mots de passe du trafic Wi-Fi, empoisonner le service de nom NetBios et se propager latéralement via le eternalblue exploit.
APT28 utilise un document malveillant pour cibler l'industrie hôtelière
Fireeye a découvert un document malveillant envoyé en lance
FireEye has moderate confidence that a campaign targeting the hospitality sector is attributed to Russian actor APT28. We believe this activity, which dates back to at least July 2017, was intended to target travelers to hotels throughout Europe and the Middle East. The actor has used several notable techniques in these incidents such as sniffing passwords from Wi-Fi traffic, poisoning the NetBIOS Name Service, and spreading laterally via the EternalBlue exploit. APT28 Uses Malicious Document to Target Hospitality Industry FireEye has uncovered a malicious document sent in spear |
Threat | Wannacry APT 28 APT 28 | ★★★★ |
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2017-06-02 08:00:00 | Les acteurs de la menace tirent parti de l'exploit éternel pour livrer des charges utiles non de la wannacry Threat actors leverage EternalBlue exploit to deliver non-WannaCry payloads (lien direct) |
L'exploit «eternalblue» ( MS017-010 ) a d'abord été utilisépar Wannacry Ransomware et Adylkuzz Cryptocurrency Miner.Maintenant, plus d'acteurs de menaces tirent parti de la vulnérabilité à MicrosoftProtocole de bloc de messages du serveur (SMB) & # 8211;Cette fois pour distribuer Backdoor.Nitol et Trojan Gh0st Rat.
Fireeye Dynamic Threat Intelligence (DTI) a historiquement observé des charges utiles similaires livrées via l'exploitation de la vulnérabilité CVE-2014-6332 ainsi que dans certaines campagnes de spam par e-mail en utilisant Commandes de versions .Plus précisément, Backdoor.Nitol a également été lié à des campagnes impliquant une exécution de code distante
The “EternalBlue” exploit (MS017-010) was initially used by WannaCry ransomware and Adylkuzz cryptocurrency miner. Now more threat actors are leveraging the vulnerability in Microsoft Server Message Block (SMB) protocol – this time to distribute Backdoor.Nitol and Trojan Gh0st RAT. FireEye Dynamic Threat Intelligence (DTI) has historically observed similar payloads delivered via exploitation of CVE-2014-6332 vulnerability as well as in some email spam campaigns using powershell commands. Specifically, Backdoor.Nitol has also been linked to campaigns involving a remote code execution |
Ransomware Spam Vulnerability Threat | Wannacry | ★★★★ |
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2017-05-15 08:01:01 | Campagne de ransomwares Wannacry: Détails de la menace et gestion des risques WannaCry Ransomware Campaign: Threat Details and Risk Management (lien direct) |
Mise à jour 3 (17 mai & # 8211; 19 h 00 HE)
Nous avons observé l'émergence d'une nouvelle variante de Wannacry avec l'URL de vérification Internet www.iffferfsodp9ifjaposdfjhgosurijfaewrwergwea [.] Test.Un bogue dans la logique de code fait que les logiciels malveillants interrogent réellement www.iffefsodp9ifjaposdfjhgosurijfaewrwergwea [.] Test.Le malware ne cryptera vos fichiers que s'il ne peut pas contacter ce domaine (en particulier, s'il ne peut pas faire une demande HTTP réussie à la résolution du domaine).Les chercheurs en sécurité ont pu enregistrer ces domaines «Killswitch» pour les variantes précédentes pour arrêter le chiffrement;Cependant, ce domaine particulier
UPDATE 3 (May 17 – 7:00 p.m. ET) We observed the emergence of a new WannaCry variant with the internet-check URL www.ifferfsodp9ifjaposdfjhgosurijfaewrwergwea[.]testing. A bug in the code logic causes the malware to actually query www.ifferfsodp9ifjaposdfjhgosurijfaewrwergwea[.]test. The malware will encrypt your files only if it cannot contact this domain (specifically, if it cannot make a successful HTTP request to the resolution of the domain). Security researchers were able to register these “killswitch” domains for previous variants to stop encryption; however, this particular domain |
Ransomware Malware Threat | Wannacry | ★★★ |
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