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Cybersecurity researchers have identified a new spam campaign driven by ‘AkiraBot,’ an AI-powered bot that targets small business…
If you use WhatsApp for Windows, you'll want to make sure you're on the latest version.
Another day, another data breach claim involving a high-profile company!
Insertion of Sensitive Information into Log File vulnerability in Apache ActiveMQ Artemis. All the values of the broker properties are logged when the org.apache.activemq.artemis.core.config.impl.ConfigurationImpl logger has the debug level enabled. This issue affects Apache ActiveMQ Artemis: from 1.5.1 before 2.40.0. It can be mitigated by restricting log access to only trusted users. Users are recommended to upgrade to version 2.40.0, which fixes the issue.
Lovable, a generative artificial intelligence (AI) powered platform that allows for creating full-stack web applications using text-based prompts, has been found to be the most susceptible to jailbreak attacks, allowing novice and aspiring cybercrooks to set up lookalike credential harvesting pages. "As a purpose-built tool for creating and deploying web apps, its capabilities line up perfectly
### Impact Currently the default settings for double-opt-in allow for mass unsolicited newsletter sign-ups without confirmation. Default settings are: Newsletter: Double Opt-in - active Newsletter: Double opt-in for registered customers - disabled Log-in & sign-up: Double opt-in on sign-up - disabled With these settings, anyone can register an account on the shop using any e-mail-address and then check the check-box in the account page to sign up for the newsletter. The recipient will receive two mails confirming registering and signing up for the newsletter, no confirmation link needed to be clicked for either. In the backend the recipient is set to “instantly active”. ### Patches Update to Shopware 6.6.10.3 or 6.5.8.17 ### Workarounds For older versions of 6.4, corresponding security measures are also available via a plugin. For the full range of functions, we recommend updating to the latest Shopware version.
A recent case of alleged cyber-voyeurism shows how important it is to secure your computer against unwanted eavesdroppers using malware.
## Impact wallabag versions prior to 2.6.11 were discovered to contain multiple Cross-Site Request Forgery (CSRF) vulnerabilities across several endpoints. An attacker could craft a malicious link or page that, if visited by a logged-in wallabag user, could trick the user's browser into performing unintended actions within their wallabag account without their consent. Additionally, one endpoint affects the login page locale setting. The affected endpoints allow attackers to potentially perform actions such as: * **Manage API Tokens:** * `/generate-token` * `/revoke-token` * **Manage User Rules:** * `/tagging-rule/delete/{taggingRule}` * `/ignore-origin-user-rule/delete/{ignoreOriginUserRule}` * **Modify User Configuration:** * `/config/view-mode` * **Manage Individual Entries:** * `/reload/{id}` * `/archive/{id}` * `/star/{id}` * `/delete/{id}` * `/share/{id}` * `/share/delete/{id}` * **Manage Tags:** * `/remove-tag/{entry}/{tag}` ...
### Summary Xgrammar includes a cache for compiled grammars to increase performance with repeated use of the same grammar. This cache is held in memory. Since the cache is unbounded, a system making use of xgrammar can be abused to fill up a host's memory and case a denial of service. For example, sending many small requests to an LLM inference server with unique JSON schemas would eventually cause this denial of service to occur. ### Details The fix is to add a limit to the cache size. This was done in https://github.com/mlc-ai/xgrammar/pull/243 An example of making use of the new cache size limit can be found in vLLM here: https://github.com/vllm-project/vllm/pull/16283 ### Impact Any system making use of Xgrammar and taking requests as input from potentially untrusted parties would be vulnerable to this denial of service issue.