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A vulnerability was found in HCL AION 2.0. It has been rated as problematic. Affected is an unknown function of the component Content-Security-Policy Header Handler. The manipulation leads to protection mechanism failure. This vulnerability is uniquely identified as CVE-2025-52635. The attack is possible to be carried out remotely. No exploit exists.

Исследователи молчали три месяца — теперь информация стала публичной.

A vulnerability was found in HCL AION 2.0. It has been declared as problematic. This impacts an unknown function. Executing manipulation can lead to information disclosure. This vulnerability is handled as CVE-2025-52630. The attack can be executed remotely. There is not any exploit available.

A vulnerability was found in HCL AION 2.0. It has been classified as critical. This affects an unknown function of the component Content-Security-Policy Header Handler. Performing manipulation results in protection mechanism failure. This vulnerability is known as CVE-2025-52624. Remote exploitation of the attack is possible. No exploit is available.

A vulnerability was found in HCL AION 2.0 and classified as problematic. The impacted element is an unknown function of the component Cacheable SSL Page Handler. Such manipulation leads to use of web browser cache containing sensitive information. This vulnerability is traded as CVE-2025-52625. The attack may be launched remotely. There is no exploit available.

A vulnerability has been found in Elastic Elasticsearch up to 7.17.29/8.18.7/8.19.4/9.0.7/9.1.4 and classified as problematic. The affected element is an unknown function of the component Reindex API. This manipulation causes sensitive information in log files. This vulnerability appears as CVE-2025-37727. The attacker needs to be present on the local network. There is no available exploit.

A vulnerability, which was classified as critical, was found in Fuji Electric V-SFT up to 6.2.7.0. Impacted is the function get_ovlp_element_size of the component V-SFT File Parser. The manipulation results in out-of-bounds read. This vulnerability is reported as CVE-2025-61862. The attack can be launched remotely. No exploit exists.

A vulnerability, which was classified as problematic, has been found in Fuji Electric V-SFT up to 6.2.7.0. This issue affects the function load_link_inf of the component V-SFT File Parser. The manipulation leads to out-of-bounds read. This vulnerability is documented as CVE-2025-61861. The attack can be initiated remotely. There is not any exploit available.

Energie is mission critical voor Defensie. In de duurzaamheidsaanpak verschuift Defensie daarom de focus naar energiezekerheid en autonoom voortzettingsvermogen. Dat gebeurt vanwege de gewijzigde geopolitiek situatie en om de belangrijkste taak van Defensie altijd te kunnen uitvoeren: het verdedigen van het eigen grondgebied en dat van NAVO-bondgenoten. Staatssecretaris Gijs Tuinman heeft dit de Tweede Kamer gisteren per brief laten weten.

A vulnerability classified as critical was found in Fuji Electric V-SFT up to 6.2.7.0. This vulnerability affects the function set_temp_type_default of the component V-SFT File Parser. Executing manipulation can lead to out-of-bounds read. This vulnerability is registered as CVE-2025-61860. It is possible to launch the attack remotely. No exploit is available.

A vulnerability classified as critical has been found in Fuji Electric V-SFT up to 6.2.7.0. This affects the function CItemDraw::is_motion_tween of the component V-SFT File Parser. Performing manipulation results in out-of-bounds write. This vulnerability is cataloged as CVE-2025-61859. It is possible to initiate the attack remotely. There is no exploit available.

A vulnerability described as critical has been identified in Fuji Electric V-SFT up to 6.2.7.0. Affected by this issue is the function set_AnimationItem of the component V-SFT File Parser. Such manipulation leads to out-of-bounds write. This vulnerability is listed as CVE-2025-61858. The attack may be performed from remote. There is no available exploit.

Multimodal AI delivers context-rich automation but also multiplies cyber risk. Hidden prompts, poisoned pixels, and cross-modal exploits can corrupt entire pipelines. Discover how attackers manipulate multimodal inputs—and the governance, testing, and incident response strategies CISOs need to stay ahead.

The post Multimodal AI, A Whole New Social Engineering Playground for Hackers appeared first on Security Boulevard.

多模态AI通过整合多种输入形式（如文本、图像、音频）生成更贴近人类理解和上下文丰富的输出。然而，其复杂性也使其成为网络安全威胁的新目标。攻击者可利用多模态系统对不同数据源的依赖性，在单一或多个渠道中植入恶意指令或误导信息。例如，在图像中嵌入隐藏文本或通过音频触发敏感操作。这些攻击手段难以检测且影响深远。企业需采取跨模态安全措施、上下文感知监控及员工培训等策略应对此类风险。

A vulnerability marked as critical has been reported in Fuji Electric V-SFT up to 6.2.7.0. Affected by this vulnerability is the function CItemExChange::WinFontDynStrCheck of the component V-SFT File Parser. This manipulation causes out-of-bounds write. This vulnerability is tracked as CVE-2025-61857. The attack is possible to be carried out remotely. No exploit exists.

A vulnerability labeled as critical has been found in Fuji Electric V-SFT up to 6.2.7.0. Affected is the function CV7BaseMap::WriteV7DataToRom of the component V-SFT File Parser. The manipulation results in stack-based buffer overflow. This vulnerability is identified as CVE-2025-61856. The attack can be executed remotely. There is not any exploit available.

Google has introduced a new AI Vulnerability Reward Program offering up to $30,000 for bug discoveries in its AI products

A critical vulnerability in GitHub Copilot Chat, rated 9.6 on the CVSS scale, could have allowed attackers to exfiltrate source code and secrets from private repositories silently. The exploit combined a novel prompt injection technique with a clever bypass of GitHub’s Content Security Policy (CSP), granting the attacker significant control over a victim’s Copilot instance, […]

The post Critical GitHub Copilot Vulnerability Let Attackers Exfiltrate Source Code From Private Repos appeared first on Cyber Security News.

Платформа пересматривает старые приговоры…но с оговорками.

AI agents are now hacking computers. They’re getting better at all phases of cyberattacks, faster than most of us expected. They can chain together different aspects of a cyber operation, and hack autonomously, at computer speeds and scale. This is going to change everything.

Over the summer, hackers proved the concept, industry institutionalized it, and criminals operationalized it. In June, AI company XBOW took the top spot on HackerOne’s US leaderboard after submitting over 1,000 new vulnerabilities in just a few months. In August, the seven teams competing in DARPA’s AI Cyber Challenge ...

The post Autonomous AI Hacking and the Future of Cybersecurity appeared first on Security Boulevard.