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Cybersecurity researchers have disclosed details of what appears to be a new strain of Shai Hulud on the npm registry with slight modifications from the previous wave observed last month. The npm package that embeds the novel Shai Hulud strain is "@vietmoney/react-big-calendar," which was uploaded to npm back in March 2021 by a user named "hoquocdat." It was updated for the first time on
The U.S. Department of the Treasury's Office of Foreign Assets Control (OFAC) on Tuesday removed three individuals linked to the Intellexa Consortium, the holding company behind a commercial spyware known as Predator, from the specially designated nationals list. The names of the individuals are as follows - Merom Harpaz Andrea Nicola Constantino Hermes Gambazzi Sara Aleksandra Fayssal Hamou
### Summary Picklescan uses the `numpy.f2py.crackfortran._eval_length` function (a NumPy F2PY helper) to execute arbitrary Python code during unpickling. ### Details Picklescan fails to detect a malicious pickle that uses the gadget `numpy.f2py.crackfortran._eval_length` in `__reduce__`, allowing arbitrary command execution when the pickle is loaded. A crafted object returns this function plus attacker‑controlled arguments; the scan reports the file as safe, but pickle.load() triggers execution. ### PoC ```python class PoC: def __reduce__(self): from numpy.f2py.crackfortran import _eval_length return _eval_length, ("__import__('os').system('whoami')", None) ``` ### Impact - Arbitrary code execution on the victim machine once they load the “scanned as safe” pickle / model file. - Affects any workflow relying on Picklescan to vet untrusted pickle / PyTorch artifacts. - Enables supply‑chain poisoning of shared model files. ### Credits - [ac0d3r](https://github.c...
### Summary Picklescan uses the `numpy.f2py.crackfortran.getlincoef` function (a NumPy F2PY helper) to execute arbitrary Python code during unpickling. ### Details Picklescan fails to detect a malicious pickle that uses the gadget `numpy.f2py.crackfortran.getlincoef` in `__reduce__`, allowing arbitrary command execution when the pickle is loaded. A crafted object returns this function plus attacker‑controlled arguments; the scan reports the file as safe, but pickle.load() triggers execution. ### PoC ```python class PoC: def __reduce__(self): from numpy.f2py.crackfortran import getlincoef return getlincoef, ("__import__('os').system('whoami')", None) ``` ### Impact - Arbitrary code execution on the victim machine once they load the “scanned as safe” pickle / model file. - Affects any workflow relying on Picklescan to vet untrusted pickle / PyTorch artifacts. - Enables supply‑chain poisoning of shared model files. ### Credits - [ac0d3r](https://github.com/ac0d3...
Artificial intelligence (AI) is making its way into security operations quickly, but many practitioners are still struggling to turn early experimentation into consistent operational value. This is because SOCs are adopting AI without an intentional approach to operational integration. Some teams treat it as a shortcut for broken processes. Others attempt to apply machine learning to problems
The Chinese hacking group known as Mustang Panda has leveraged a previously undocumented kernel-mode rootkit driver to deliver a new variant of backdoor dubbed TONESHELL in a cyber attack detected in mid-2025 targeting an unspecified entity in Asia. The findings come from Kaspersky, which observed the new backdoor variant in cyber espionage campaigns mounted by the hacking group targeting
### Summary A stored cross-site scripting (XSS) vulnerability allows an attacker to execute arbitrary JavaScript in an administrator’s browser by registering a user whose **display name** contains HTML entities (e.g., `<img ...>`). When an administrator views the admin user list, the payload is decoded server-side and rendered without escaping, resulting in script execution in the admin context. ### Details Root cause is the following chain: - **User-controlled input stored**: attacker-provided `display_name` (real name) is stored in DB (often as HTML entities, e.g., `<img ...>`). - **Decode on read**: `phpmyfaq/src/phpMyFAQ/User/UserData.php` decodes `display_name` using `html_entity_decode(...)` (“for backward compatibility”). - **Unsafe sink**: admin user list renders the decoded value unescaped using Twig `|raw`: - `phpmyfaq/assets/templates/admin/user/users.twig` (users table uses `{{ user.display_name|raw }}`) As a result, an entity-encoded payload becomes active ...
KrebsOnSecurity.com celebrates its 16th anniversary today! A huge "thank you" to all of our readers -- newcomers, long-timers and drive-by critics alike. Your engagement this past year here has been tremendous and truly a salve on a handful of dark days. Happily, comeuppance was a strong theme running through our coverage in 2025, with a primary focus on entities that enabled complex and globally-dispersed cybercrime services.
Last week’s cyber news in 2025 was not about one big incident. It was about many small cracks opening at the same time. Tools people trust every day behave in unexpected ways. Old flaws resurfaced. New ones were used almost immediately. A common theme ran through it all in 2025. Attackers moved faster than fixes. Access meant for work, updates, or support kept getting abused. And damage did not
Windows isn’t the only target anymore. In 2025, malware increasingly targeted Android, macOS, and multiple platforms at once.