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About Elevation of Privilege – Windows Process Activation (CVE-2025-21204) vulnerability. This vulnerability from the April Microsoft Patch Tuesday was not highlighted by VM vendors in their reviews. It affects the Windows Update Stack component and is related to improper link resolution before file access (CWE-59). 🔻 On April 14, researcher Elli Shlomo (CYBERDOM) published a […]
### Overview Auth0 NextJS `v4.0.1` to `v4.5.0` does not invoke `.setExpirationTime` when generating a JWE token for the session. As a result, the JWE does not contain an internal expiration claim. While the session cookie may expire or be cleared, the JWE remains valid. ### Am I Affected? You are affected if you are using Auth0 NextJS SDK v4. ### Fix Upgrade to `v4.5.1`.
Improper sanitization of the value of the 'href' and 'xlink:href' attributes in '<image>' SVG elements in AngularJS allows attackers to bypass common image source restrictions. This can lead to a form of Content Spoofing https://owasp.org/www-community/attacks/Content_Spoofing and also negatively affect the application's performance and behavior by using too large or slow-to-load images. This issue affects all versions of AngularJS. Note: The AngularJS project is End-of-Life and will not receive any updates to address this issue. For more information see here https://docs.angularjs.org/misc/version-support-status .
The cyberattack on Marks & Spencer (M&S) is linked to the notorious Scattered Spider group. Explore the severe…
Popular messaging app WhatsApp on Tuesday unveiled a new technology called Private Processing to enable artificial intelligence (AI) capabilities in a privacy-preserving manner. "Private Processing will allow users to leverage powerful optional AI features – like summarizing unread messages or editing help – while preserving WhatsApp's core privacy promise," the Meta-owned service said in a
WhatsApp's AI tools will use a new “Private Processing” system designed to allow cloud access without letting Meta or anyone else see end-to-end encrypted chats. But experts still see risks.
### Summary A critical performance vulnerability has been identified in the input preprocessing logic of the multimodal tokenizer. The code dynamically replaces placeholder tokens (e.g., <|audio_*|>, <|image_*|>) with repeated tokens based on precomputed lengths. Due to inefficient list concatenation operations, the algorithm exhibits quadratic time complexity (O(n²)), allowing malicious actors to trigger resource exhaustion via specially crafted inputs. ### Details Affected Component: input_processor_for_phi4mm function. https://github.com/vllm-project/vllm/blob/8cac35ba435906fb7eb07e44fe1a8c26e8744f4e/vllm/model_executor/models/phi4mm.py#L1182-L1197 The code modifies the input_ids list in-place using input_ids = input_ids[:i] + tokens + input_ids[i+1:]. Each concatenation operation copies the entire list, leading to O(n) operations per replacement. For k placeholders expanding to m tokens, total time becomes O(kmn), approximating O(n²) in worst-case scenarios. ### PoC ...
### Summary Due to a missing error propagation in function `GetNamespaceSelectorsFromNamespaceLister` in `pkg/utils/engine/labels.go` it may happen that policy rules using namespace selector(s) in their `match` statements are mistakenly not applied during admission review request processing. As a consequence, security-critical mutations and validations are bypassed, potentially allowing attackers with K8s API access to perform malicious operations. ### Details As a policy engine Kyverno is a critical component ensuring the security of Kubernetes clusters by apply security-relevant policy rules in the Kubernetes admission control process. We encountered a case where Kyverno did not apply policy rules which should have been applied. This happened in both the mutation and the validation phase of admission control. Effectively Kyverno handled the admission review requests as if those policy rules did not exist. Consequently, the Kube API request was accepted without applying securit...
Various generative artificial intelligence (GenAI) services have been found vulnerable to two types of jailbreak attacks that make it possible to produce illicit or dangerous content. The first of the two techniques, codenamed Inception, instructs an AI tool to imagine a fictitious scenario, which can then be adapted into a second scenario within the first one where there exists no safety
San Francisco, United States, 29th April 2025, CyberNewsWire