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One click, total mess. A convincing itch-style page can drop a stealthy stager instead of a game. Here’s how to spot it and what to do if you clicked.

Researchers warn of Shuyal Stealer, malware that gathers browser logins, system details, and Discord tokens, then erases evidence via Telegram.

OpenAI on Tuesday said it disrupted three activity clusters for misusing its ChatGPT artificial intelligence (AI) tool to facilitate malware development. This includes a Russian‑language threat actor, who is said to have used the chatbot to help develop and refine a remote access trojan (RAT), a credential stealer with an aim to evade detection. The operator also used several ChatGPT accounts to

A ransomware last week left the Asahi brewery in Japan struggling to take orders and deliver its products domestically, as manufacturers become a favored target.

Multiple stored cross-site scripting (XSS) vulnerabilities in Liferay Portal 7.4.3.15 through 7.4.3.111, and Liferay DXP 2023.Q4.0 through 2023.Q4.5, 2023.Q3.1 through 2023.Q3.8, and 7.4 update 15 through update 92 allow remote attackers to inject arbitrary web script or HTML via crafted payload injected into a Terms and Condition's Name text field to (1) Payment Terms, or (2) the Delivery Term on the view order page.

Cross-site scripting (XSS) vulnerability in the Commerce Search Result widget in Liferay Portal 7.4.0 through 7.4.3.111, and Liferay DXP 2023.Q4 before patch 6, 2023.Q3 before patch 9, and 7.4 GA through update 92 allows remote attackers to inject arbitrary web script or HTML via a crafted payload injected into a Commerce Product's Name text field.

You’ve trained the model, packaged it on Red Hat OpenShift AI, and it’s ready to work. The next move is exposing it through an API so people and applications can use it. At that moment, your model stops being an internal experiment and becomes a front-door service. And like any front door, somebody is going to knock … sometimes it’s the right user, sometimes not.Your model is no longer just a project in a lab: it’s a production endpoint. And like any endpoint, it’s a target. How do you ensure that only the right applications and users are interacting with it? How do you protect the

A cybercriminal group that used voice phishing attacks to siphon more than a billion records from Salesforce customers earlier this year has launched a website that threatens to publish data stolen from dozens of Fortune 500 firms if they refuse to pay a ransom. The group also claimed responsibility for a recent breach involving Discord user data, and for stealing terabytes of sensitive files from thousands of customers of the enterprise software maker Red Hat.

### Summary `Deno.FsFile.prototype.utime` and `Deno.FsFile.prototype.utimeSync` are not limited by the permission model check `--deny-write=./`. It's possible to change to change the access (`atime`) and modification (`mtime`) times on the file stream resource even when the file is opened with `read` only permission (and `write`: `false`) and file write operations are not allowed (the script is executed with `--deny-write=./`). Similar APIs like `Deno.utime` and `Deno.utimeSync` require `allow-write` permission, however, when a file is opened, even with read only flags and deny-write permission, it's still possible to change the access (`atime`) and modification (`mtime`) times, and thus bypass the permission model. ### PoC Setup: ``` deno --version deno 2.4.2 (stable, release, x86_64-unknown-linux-gnu) v8 13.7.152.14-rusty typescript 5.8.3 touch test.txt ``` ```js // touch test.txt // https://docs.deno.com/api/deno/~/Deno.FsFile.prototype.utime // deno run --allow-read=./ --den...

### Summary A Server-Side Request Forgery (SSRF) vulnerability exists in the `MediaConnector` class within the vLLM project's multimodal feature set. The `load_from_url` and `load_from_url_async` methods fetch and process media from user-provided URLs without adequate restrictions on the target hosts. This allows an attacker to coerce the vLLM server into making arbitrary requests to internal network resources. This vulnerability is particularly critical in containerized environments like `llm-d`, where a compromised vLLM pod could be used to scan the internal network, interact with other pods, and potentially cause denial of service or access sensitive data. For example, an attacker could make the vLLM pod send malicious requests to an internal `llm-d` management endpoint, leading to system instability by falsely reporting metrics like the KV cache state. ### Vulnerability Details The core of the vulnerability lies in the `MediaConnector.load_from_url` method and its asynchronous ...