ghsa

### Summary Picklescan uses _operator.methodcaller, which is a built-in python library function to execute remote pickle files. ### Details The attack payload executes in the following steps: - First, the attacker crafts the payload by calling to _operator.methodcaller function in reduce method - Then when after the victim after checks whether or not the pickle file is safe by using Picklescan library and the library doesn't dectect any dangerous functions, pickle.load() loads this malicious pickle file, thus lead to remote code execution. ### PoC ``` import pickle import pickletools opcode2 = b'''cbuiltins __import__ (Vos tRp0 0c_operator methodcaller (Vsystem Vecho "pwned by _operator.methodcaller" tR(g0 tR.''' pickletools.dis(opcode2) pickle.loads(opcode2) ``` This PoC can't be easily create by pickle.dumps, so it was manually built. ### Impact Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. Attackers can embed mali...

### 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...

> [!NOTE] > Message from the Pterodactyl team: > > The Pterodactyl team has evaluated this as a minor security issue but does not consider it something that should be assigned a CVE, nor does it require active patching by vulnerable systems. > > This issue is entirely self-inflicted and requires an administrative user paste an _obviously_ incorrect value into a database host field, submit it, and run into the XSS when the error message is rendered. However, we have determined that this fix is good security hygiene and may prevent issues in other areas not yet discovered. ### Summary When an administrative user creates a new database host they are prompted to provide a `Host` value which is expected to be a domain or IP address. When an invalid value is encountered and passed back to `gethostaddr` and/or directly to the MySQL connection tooling, an error is returned. This error is then passed back along to the front-end, but was not properly sanitized when rendered. Therefore it is po...

To prevent unexpected untrusted code execution, the Visual Studio Code Go extension is now disabled in Restricted Mode.

### Summary Picklescan uses numpy.f2py.crackfortran.param_eval, which is a function in numpy to execute remote pickle files. ### Details The attack payload executes in the following steps: - First, the attacker crafts the payload by calling the numpy.f2py.crackfortran.param_eval function via reduce method. - Then, when the victim checks whether the pickle file is safe by using the Picklescan library and this library doesn't detect any dangerous functions, they decide to use pickle.load() on this malicious pickle file, thus leading to remote code execution. ### PoC ``` class RCE: def __reduce__(self): from numpy.f2py.crackfortran import param_eval return (param_eval,("os.system('ls')",None,None,None)) ``` ### Impact Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded. Attackers can distrib...

### 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 ...

### Summary A Server-Side Request Forgery (SSRF) filter bypass vulnerability exists in the webhook URL validation of the Secret Requests feature. The application attempts to block internal/private IP addresses but can be bypassed using DNS rebinding (e.g., `localtest.me` which resolves to `127.0.0.1`) or open redirect services (e.g., `httpbin.org/redirect-to`). This allows an authenticated user to make the server initiate HTTP requests to internal network resources. ### Details The vulnerability exists in the `isPublicUrl` function located in `/api/lib/utils.ts`. The function validates webhook URLs against a blocklist of private IP patterns: ```typescript export const isPublicUrl = (url: string): boolean => { const parsed = new URL(url); const hostname = parsed.hostname.toLowerCase(); const blockedPatterns = [ /^localhost$/, /^127\.\d{1,3}\.\d{1,3}\.\d{1,3}$/, /^192\.168\.\d{1,3}\.\d{1,3}$/, // ... other patterns ]; return...

### Summary Picklescan uses numpy.f2py.crackfortran.myeval, which is a function in numpy to execute remote pickle files. ### Details The attack payload executes in the following steps: - First, the attacker crafts the payload by calling the numpy.f2py.crackfortran.myeval function in its reduce method - Then, when the victim checks whether the pickle file is safe by using the Picklescan library and this library doesn't detect any dangerous functions, they decide to use pickle.load() on this malicious pickle file, thus leading to remote code execution. ### PoC ``` class RCE: def __reduce__(self): from numpy.f2py.crackfortran import myeval return (myeval, ("os.system('ls')",)) ``` ### Impact Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded. Attackers can distribute infected pickle files ac...

### Summary Picklescan uses `operator.methodcaller`, which is a built-in python library function to execute remote pickle files. ### Details The attack payload executes in the following steps: - First, the attacker crafts the payload by calling the `operator.methodcaller` function in method `reduce`. - Then, when the victim checks whether the pickle file is safe using the Picklescan library and this library doesn't detect any dangerous functions, they decide to use pickle.load() on this malicious pickle file, thus leading to remote code execution. ### PoC ``` import pickle import pickletools opcode1 = b'''cbuiltins __import__ (Vos tRp0 0coperator methodcaller (Vsystem Vecho "pwned by operator.methodcaller" tR(g0 tR.''' pickletools.dis(opcode1) pickle.loads(opcode1) ``` This PoC can't be easily created by pickle.dumps, therefore it was manually built. ### Impact Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. Attackers ca...