Shopify App: Token exchange shop context confusion may allow cross-shop authorization bypass in affected apps
CVE-2026-63414
In token-exchange authenticated controllers, `shopify_app` exposes shop context through helpers such as `current_shopify
今日共收录 1854 条安全情报,包含 1458 个 CVE,156 篇安全通告,以及 125 篇研究论文。
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In token-exchange authenticated controllers, `shopify_app` exposes shop context through helpers such as `current_shopify
Cisco released security updates to patch a denial-of-service zero-day in Adaptive Security Appliance (ASA) and Threat De
CVE-2026-76418
Cisco has released patches to address a high-severity security flaw in Secure Firewall Adaptive Security Appliance (ASA)
CVE-2026-109618 · CVE-2026-109619
CVE-2026-109618 Impact of Critical Vulnerabilities in PHP (CVE-2026-109618, CVE-2026-109619) on Palo Alto Networks Produ
CVE-2026-109618 · CVE-2026-109619
CVE-2026-109618 and CVE-2026-109619 are Critical vulnerabilities in PHP, a scripting language used globally for web serv
CVE-2026-111943
We have released versions 19.5.3, 19.4.5, 19.3.7, 19.2.10, 19.1.10, 19.0.11, 18.11.14 for GitLab Community Edition (CE)
CVE-2026-62290
## Summary `Challenge` resources under `acme.cert-manager.io` can be created directly by namespace users. On create, ce
## Unauthenticated Danswer API Confused Deputy Proxy in @eeacms/volto-chatbot ### Summary `@eeacms/volto-chatbot` expo
CVE-2026-62160
### Summary Daptin's `LanguageMiddleware` (registered as a global gin middleware) calls `golang.org/x/text/language.Par
CVE-2024-8517
SPIP before 4.3.2, 4.2.16, and 4.1.18 is vulnerable to a command injection issue. A remote and unauthenticated attacke
CVE-2026-109618
PHP uses longjmp() for out-of-memory (OOM) errors to exit the current context and abort handling of the request. Some co
As Microsoft Threat Intelligence continues to track how threat actors operationalize AI to increase the speed and effici
CVE-2026-20127
A newly identified advanced persistent threat (APT) group tracked as UAT-11473 was observed exploiting CVE-2026-20127, a
Edge deployment of Large Language Models requires optimization techniques that reduce memory, computation, and energy co
Continual learning methods for large language models increasingly decide what to learn by surprise, keeping the inputs t
Large language model serving stacks, commercial inference APIs, vector databases, and agent orchestration gateways are n
Multi-agent LLM systems increasingly rely on persistent memory and inter-agent communication. These capabilities create
LLM agents are increasingly adopted in long-horizon tasks and interact with diverse external environments. Despite their
Web assistants increasingly answer questions about a user's private documents by pairing a small on-device model with a
Recent benchmarks show that LLMs achieve strong performance in both function-level binary understanding and end-to-end b