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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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2017-06-27 08:01:01 | Petya Variante de logiciels malveillants destructive Spreading via des informations d'identification volées et Eternalblue Exploit Petya Destructive Malware Variant Spreading via Stolen Credentials and EternalBlue Exploit (lien direct) |
mise à jour (21 juillet): Fireeye continue de suivre cette menace.Une version antérieure de cet article a été mise à jour pour refléter de nouvelles résultats.
Le 27 juin 2017, plusieurs organisations & # 8211;beaucoup en Europe & # 8211; perturbations importantes variante du ransomware Petya, que nous appelons «EternalPetya».Le malware a été initialement distribué via un système de mise à jour logiciel compromis, puis auto-copier via des informations d'identification volées et des exploits SMB, y compris le eternalblue exploit utilisé dans le Wannacry Attaque de mai 2017.
le vecteur d'infection initial pour ce
UPDATE (July 21): FireEye continues to track this threat. An earlier version of this post has been updated to reflect new findings. On June 27, 2017, multiple organizations – many in Europe – reported significant disruptions they are attributing to a variant of the Petya ransomware, which we are calling “EternalPetya”. The malware was initially distributed through a compromised software update system and then self-propagated through stolen credentials and SMB exploits, including the EternalBlue exploit used in the WannaCry attack from May 2017. The initial infection vector for this |
Malware | Wannacry | ★★★★ |
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2017-05-23 12:30:00 | Profil de logiciel malveillant Wannacry WannaCry Malware Profile (lien direct) |
MALWARE WANNACRY (également connu sous le nom de WCRY ou WANACRYPTOR) est un ransomware d'auto-propagation (semblable à des vers) qui se propage dans les réseaux internes et sur Internet public en exploitant une vulnérabilité dans le bloc de messages du serveur de Microsoft \\ (SMB)Protocole, MS17-010.Le wannacry se compose de deux composants distincts, unqui fournit des fonctionnalités de ransomware et un composant utilisé pour la propagation, qui contient des fonctionnalités pour permettre les capacités d'exploitation des SMB.
Le malware exploite un exploit, nommé «EternalBlue», publié par les Shadow Brokers le 14 avril 2017.
le
WannaCry (also known as WCry or WanaCryptor) malware is a self-propagating (worm-like) ransomware that spreads through internal networks and over the public internet by exploiting a vulnerability in Microsoft\'s Server Message Block (SMB) protocol, MS17-010. The WannaCry malware consists of two distinct components, one that provides ransomware functionality and a component used for propagation, which contains functionality to enable SMB exploitation capabilities. The malware leverages an exploit, codenamed “EternalBlue”, that was released by the Shadow Brokers on April 14, 2017. The |
Ransomware Malware Vulnerability Technical | 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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