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Curated news, CVE analysis, and threat reports from the world's top cybersecurity sources.
Russian State-Supported Cyber Actors Conduct Phishing Campaign Targeting Users of Zimbra Collaboration Suite Executive summary A group of Russian state-supported cyber actors has been targeting and compromising various Western government and commercial organizations using the Zimbra.
A Russian-speaking actor, "Trim," dismantled publicly available frontier models and integrated them with offensive security tools.
A Russian-speaking threat actor known as Trim converted AI jailbreak techniques into a full offensive attack platform, systematically dismantling safety guardrails across multiple frontier AI models. Rather than using jailbreaks for demonstration or research purposes, Trim operationalized them, creating tools that could consistently bypass safety filters on leading commercial and open source models to generate harmful content, produce malicious code, and extract sensitive training information.
AWS WAF uses labels to classify web traffic, with managed rule groups like Bot Control labeling requests. The new AI Activity Dashboard enhances bot identification, and dynamic label interpolation lets you forward labels to your backend for custom policies.
AWS WAF now offers dynamic label interpolation, a feature that simplifies the management of web traffic classification by allowing users to reference labels by namespace instead of individual names. This enhancement reduces the maintenance burden of enumerating each label, particularly as the catalog of labels grows.
AWS WAF has introduced dynamic label interpolation, a feature that simplifies how users manage and utilize labels for web traffic classification. Instead of manually enumerating individual labels, users can now reference entire namespaces (e.g., `${awswaf:managed:aws:bot-control:bot:category:}`) in custom headers, response bodies, or redirects.