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Vigilance.fr - Perl DBI : buffer overflow via Error Messages, analysé le 10/06/2026
10 août, par Vigilance.frUn attaquant peut provoquer un buffer overflow de Perl DBI, via Error Messages, afin de mener un déni de service, et éventuellement d'exécuter du code.
Voir en ligne : https://vigilance.fr/vulnerabilite/... -
Vigilance.fr - Perl DBI : buffer overflow via Error Messages, analyzed on 10/06/2026
10 août, par Vigilance.frAn attacker can trigger a buffer overflow of Perl DBI, via Error Messages, in order to trigger a denial of service, and possibly to run code.
View online : https://vigilance.fr/vulnerability/... -
Vigilance.fr - Jenkins Core LTS : multiples vulnérabilités du 10/06/2026
10 août, par Vigilance.frUn attaquant peut employer plusieurs vulnérabilités de Jenkins Core LTS, du 10/06/2026.
Voir en ligne : https://vigilance.fr/vulnerabilite/... -
Vigilance.fr - Jenkins Core LTS : multiple vulnerabilities dated 10/06/2026
10 août, par Vigilance.frAn attacker can use several vulnerabilities of Jenkins Core LTS, dated 10/06/2026.
View online : https://vigilance.fr/vulnerability/... -
Meta incident shows AI governance must start before deployment
10 août, par Perforce — afficheFollowing reports that a Meta AI model exploited a vulnerability in another company's systems after a testing misconfiguration gave it unintended internet access, Perforce CTO Rod Cope says the incident should not be viewed simply as an example of AI going rogue.
It demonstrates how autonomous AI systems can take advantage of the permissions, connections and configurations organizations provide. Rod argues that AI governance must begin during software development, with strong testing environments, continuous validation and controls that keep infrastructure in its intended state.Rod Cope, CTO, Perforce
"The takeaway from this incident isn't that AI has suddenly become an uncontrollable hacker. It's that increasingly capable AI systems can exploit whatever permissions, connections and configurations we give them. As AI becomes more autonomous, organizations need to stop thinking of governance as something that begins after deployment. Instead, governance starts with how AI systems are built, tested and contained throughout the software development lifecycle."
"It is essential to apply to AI the same engineering discipline that has long been fundamental to successful software development and DevOps best practice. In particular, test environments need to be given the focus their pivotal role requires, with continuous validation. Infrastructure has to remain in its intended state. The bottom line is that control over AI needs to catch up with AI adoption, and fast."