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VirusTotal

PulseAugur coverage of VirusTotal — every cluster mentioning VirusTotal across labs, papers, and developer communities, ranked by signal.

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Total · 30d
8
8 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
6
6 over 90d
TIER MIX · 90D
TOPICS
RELATIONSHIPS
SENTIMENT · 30D

3 day(s) with sentiment data

RECENT · PAGE 1/1 · 8 TOTAL
  1. RESEARCH · CL_111254 ·

    New DROIDBREAKER framework creates functional adversarial Android malware

    Researchers have developed DROIDBREAKER, a new framework designed to create practical and functional adversarial Android applications (APKs) that can evade machine-learning malware detectors. This framework addresses li…

  2. TOOL · CL_77257 ·

    Malware evolution traced using bioinformatics techniques

    Researchers have developed MalTree, a new framework that uses phylogenetic techniques, similar to those used in bioinformatics, to automatically model malware evolution. This approach analyzes structural, behavioral, an…

  3. RESEARCH · CL_65570 ·

    AI agent skills pose unique security risks, new dataset reveals

    A new dataset, ClawHub Security Signals, has been released to address the unique security challenges posed by AI agent skills. The dataset, containing over 67,000 skill versions, reveals significant disagreement among t…

  4. RESEARCH · CL_50660 ·

    New adversarial malware dataset released to test AI detection robustness

    Researchers have developed a new dataset of adversarial malware samples, derived from real-world malware binaries, to test the robustness of machine learning-based detection systems. The dataset includes over 44,000 fam…

  5. TOOL · CL_38334 ·

    New AI method evades malware detectors by mimicking benign software

    Researchers have developed a method to evade machine learning-based malware detectors by injecting specific API imports characteristic of benign software. This technique, utilizing a Conditional Variational Autoencoder,…

  6. RESEARCH · CL_06818 ·

    Researchers develop self-supervised learning for Android malware detection

    Researchers have developed a new method for detecting Android malware that addresses temporal bias in machine learning models. By constructing a time-stamped dataset and implementing a timestamp-verification procedure, …

  7. RESEARCH · CL_06106 ·

    Hugging Face announces OCR, security, and model updates

    Hugging Face has announced several updates and collaborations across its platform. These include enhancements to OCR pipelines with open models, the integration of Sentence Transformers, and the release of Transformers.…

  8. TOOL · CL_00418 ·

    Social AI with Hugging Face

    Hugging Face has announced a series of partnerships and product updates aimed at enhancing the accessibility, security, and scalability of AI models. Collaborations with Google, VirusTotal, JFrog, Wiz Research, and Prot…