#web

Cybersecurity researchers have disclosed details of an artificial intelligence (AI) powered platform called AkiraBot that's used to spam website chats, comment sections, and contact forms to promote dubious search engine optimization (SEO) services such as Akira and ServicewrapGO. "AkiraBot has targeted more than 400,000 websites and successfully spammed at least 80,000 websites since September

A hacker using the alias “Satanic” claims a WooCommerce data breach via a third party, selling data on…

### Impact _What kind of vulnerability is it? Who is impacted?_ **Description:** This vulnerability affects confidential client applications, including daemons, web apps, and web APIs. Under specific circumstances, sensitive information such as client secrets or certificate details may be exposed in the service logs of these applications. Service logs are intended to be handled securely. **Impact:** The vulnerability impacts service logs that meet the following criteria: - **Logging Level:** Logs are generated at the information level. - **Credential Descriptions:** containing: - Local file paths with passwords. - Base64 encoded values. - Client secret. Additionally, logs of services using Base64 encoded certificates or certificate paths with password credential descriptions are also affected if the certificates are invalid or expired, regardless of the log level. Note that these credentials are not usable due to their invalid or expired status. If your service log...

Stay secure on the move. Protect your devices, data, and privacy with smart habits, reliable gear, updated software…

Cybersecurity researchers have identified a new spam campaign driven by ‘AkiraBot,’ an AI-powered bot that targets small business…

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

A recent case of alleged cyber-voyeurism shows how important it is to secure your computer against unwanted eavesdroppers using malware.

### Summary There was an insecure deserialization in BentoML's runner server. By setting specific headers and parameters in the POST request, it is possible to execute any unauthorized arbitrary code on the server, which will grant the attackers to have the initial access and information disclosure on the server. ### PoC - First, create a file named **model.py** to create a simple model and save it ``` import bentoml import numpy as np class mymodel: def predict(self, info): return np.abs(info) def __call__(self, info): return self.predict(info) model = mymodel() bentoml.picklable_model.save_model("mymodel", model) ``` - Then run the following command to save this model ``` python3 model.py ``` - Next, create **bentofile.yaml** to build this model ``` service: "service.py" description: "A model serving service with BentoML" python: packages: - bentoml - numpy models: - tag: MyModel:latest include: - "*.py" ``` - Then, create **service.p...

### Impact The buffer created for parsing metadata for PNG and WebP images was only bounded by their input data type, which could lead to potentially large memory allocation, and unreasonably high for image metadata. Before `v0.11.0`, If you didn't trust the input images, this could be abused to construct denial-of-service attacks. ### Patches `v0.11.0` added a 10 MB upper limit.