2026-09-11 (Friday) Journal

Day summary: Today’s RSS activity: 2 item(s) from infosec.exchange including “I love to see clever use of the @gcve ecosystem and @SaschaRommelfangen did a cool GNA which is automatically creating GCVE records and structured security advisories from full-disclosure mailing-list or alike:🔗 Project details https://vuln.freearchive.org/🔗 As it’s a GNA, it’s part of the GCVE ecosystem if you decide to pull it https://db.gcve.eu/recent?source=gna-1988#gcve #cve #vulnerability #vulnerability #opensource #cybersecurity”; “We had difficulties automatically classifying chats, messaging channels, and forums. So we tested several open-weight large language models for our use case. The benchmark is published below, along with a tool supporting the classification process.This helps us avoid manually classifying channels collected from dark-web forums and social networks, while reliably identifying which channels can be discarded and which deserve further analysis.🔗 Publication https://aipitch.eu/2026/09/10/Automated-Topic-Classification-of-Chat-Messaging-and-Forum/🔗 Source code https://github.com/AIPITCH/topic-classifier#ai #llm #cybersecurity #darkweb #osint #opensource”.

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I love to see clever use of the @gcve ecosystem and @SaschaRommelfangen did a cool GNA which is automatically creating GCVE records and structured security advisories from full-disclosure mailing-list or alike:🔗 Project details https://vuln.freearchive.org/🔗 As it’s a GNA, it’s part of the GCVE ecosystem if you decide to pull it https://db.gcve.eu/recent?source=gna-1988#gcve #cve #vulnerability #vulnerability #opensource #cybersecurity

We had difficulties automatically classifying chats, messaging channels, and forums. So we tested several open-weight large language models for our use case. The benchmark is published below, along with a tool supporting the classification process.This helps us avoid manually classifying channels collected from dark-web forums and social networks, while reliably identifying which channels can be discarded and which deserve further analysis.🔗 Publication https://aipitch.eu/2026/09/10/Automated-Topic-Classification-of-Chat-Messaging-and-Forum/🔗 Source code https://github.com/AIPITCH/topic-classifier#ai #llm #cybersecurity #darkweb #osint #opensource