#ios

Cybersecurity researchers have discovered a new, large-scale mobile malware campaign that's targeting Android and iOS platforms with fake dating, social networking, cloud storage, and car service apps to steal sensitive personal data. The cross-platform threat has been codenamed SarangTrap by Zimperium zLabs. Users in South Korea appear to be the primary focus. "This extensive campaign involved

A law requiring UK internet users to verify their age to access adult content has led to a huge surge in VPN downloads—and has experts worried about the future of free expression online.

Summary The growing adoption of large language models (LLMs) in enterprise workflows has introduced a new class of adversarial techniques: indirect prompt injection. Indirect prompt injection can be used against systems that leverage large language models (LLMs) to process untrusted data. Fundamentally, the risk is that an attacker could provide specially crafted data that the LLM misinterprets as instructions.

### Impact This vulnerability affects applications that: * Use the ImageMagick handler for image processing (`imagick` as the image library) * **AND** either: * Allow file uploads with user-controlled filenames and process uploaded images using the `resize()` method * **OR** use the `text()` method with user-controlled text content or options An attacker can: * Upload a file with a malicious filename containing shell metacharacters that get executed when the image is processed * **OR** provide malicious text content or options that get executed when adding text to images ### Patches Upgrade to v4.6.2 or later. ### Workarounds * **Switch to the GD image handler** (`gd`, the default handler), which is not affected by either vulnerability * **For file upload scenarios**: Instead of using user-provided filenames, generate random names to eliminate the attack vector with `getRandomName()` when using the `move()` method, or use the `store()` method, which automatically generates safe ...

Lower rates for creating unique passwords, buying items from known websites, and using protection software leave iPhone users at risk to online scams.

### Summary A critical vulnerability exists in the form-data package used by `axios@1.10.0`. The issue allows an attacker to predict multipart boundary values generated using `Math.random()`, opening the door to HTTP parameter pollution or injection attacks. This was submitted in [issue #6969](https://github.com/axios/axios/issues/6969) and addressed in [pull request #6970](https://github.com/axios/axios/pull/6970). ### Details The vulnerable package `form-data@4.0.0` is used by `axios@1.10.0` as a transitive dependency. It uses non-secure, deterministic randomness (`Math.random()`) to generate multipart boundary strings. This flaw is tracked under [Snyk Advisory SNYK-JS-FORMDATA-10841150](https://security.snyk.io/vuln/SNYK-JS-FORMDATA-10841150) and [CVE-2025-7783](https://security.snyk.io/vuln/SNYK-JS-FORMDATA-10841150). Affected `form-data` versions: - <2.5.4 - >=3.0.0 <3.0.4 - >=4.0.0 <4.0.4 Since `axios@1.10.0` pulls in `form-data@4.0.0`, it is exposed to this issue. ### PoC...

Flowable’s 2025.1 update brings powerful Agentic AI features to automate workflows, boost efficiency, and scale intelligent business operations.

A woman in Florida was tricked into giving thousands of dollars to a scammer after her daughter's voice was AI-cloned and used in a scam.

Improve security in your React app with geolocation-based authentication, adding a strong layer beyond passwords to prevent unauthorised access.

A new report traces the history of the early wave of Chinese hackers who became the backbone of the state's espionage apparatus.