#auth

Wilmington, United States, 4th September 2025, CyberNewsWire

The Quad7 botnet is adding End-of-Life TP-Link routers to its arsenal and using them to steal Microsoft 365 accounts.

The French data protection authority has fined Google and Chinese e-commerce giant Shein $379 million (€325 million) and $175 million (€150 million), respectively, for violating cookie rules. Both companies set advertising cookies on users' browsers without securing their consent, the National Commission on Informatics and Liberty (CNIL) said. Shein has since updated its systems to comply with

"This is entirely false" said Google about recent rumors of a widespread attack on Google users.

CISA updates its KEV List with TP-Link Wi-Fi extender and WhatsApp spyware flaws, urging users and agencies to…

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Wednesday added two security flaws impacting TP-Link wireless routers to its Known Exploited Vulnerabilities (KEV) catalog, noting that there is evidence of them being exploited in the wild. The vulnerabilities in question are listed below - CVE-2023-50224 (CVSS score: 6.5) - An authentication bypass by spoofing vulnerability

Exposure of sensitive information to an unauthorized actor in Xbox allows an unauthorized attacker to disclose information over a network.

### Summary [Python class pollution](https://blog.abdulrah33m.com/prototype-pollution-in-python/) is a novel vulnerability categorized under [CWE-915](https://cwe.mitre.org/data/definitions/915.html). The `Delta` class is vulnerable to class pollution via its constructor, and when combined with a gadget available in DeltaDiff itself, it can lead to Denial of Service and Remote Code Execution (via insecure [Pickle](https://docs.python.org/3/library/pickle.html) deserialization). The gadget available in DeepDiff allows `deepdiff.serialization.SAFE_TO_IMPORT` to be modified to allow dangerous classes such as `posix.system`, and then perform insecure Pickle deserialization via the Delta class. This potentially allows any Python code to be executed, given that the input to `Delta` is user-controlled. Depending on the application where DeepDiff is used, this can also lead to other vulnerabilities. For example, in a web application, it might be possible to bypass authentication via class po...

### Impact The attacker can validate if a user exists by checking the time login returns. This timing difference can be used to enumerate valid usernames, after which an attacker could attempt brute force attacks. ### Patches This vulnerability has been patched, implementing a timing-safe form login authenticator that ensures consistent response times regardless of whether a user exists or not. ### Technical Details The vulnerability was caused by different response times when: - A valid username was provided (password hashing occurred) - An invalid username was provided (no password hashing occurred) The fix introduces a `TimingSafeFormLoginAuthenticator` that performs a dummy password hash verification even for non-existent users, ensuring consistent timing. ### Workarounds No workarounds are available. Users should upgrade to the patched version. ### References - https://owasp.org/www-project-web-security-testing-guide/latest/4-Web_Application_Security_Testing/03-Identity_Manag...

## Summary A Cross-Site Scripting (XSS) vulnerability allows an attacker to execute arbitrary JavaScript in the context of another user’s session. This occurs because user-supplied input is reflected back in the server’s response without proper sanitization or escaping, potentially enabling malicious actions such as session hijacking, credential theft, or unauthorized actions in the application. ## Details The vulnerability resides in the “Tags” input field on the /s/ajax?action=lead:addLeadTags endpoint. Although the server applies sanitization before storing the data or returning it later, the payload is executed immediately in the victim’s browser upon reflection, allowing an attacker to run arbitrary JavaScript in the user’s session. ## Impact A Reflected XSS attack can have a significant impact, allowing attackers to steal sensitive user data like cookies, redirect users to malicious websites, manipulate the web page content, and essentially take control of a user's session wi...