GHSA-M87F-9FVV-2MGG Deserialization of Untrusted Data in parlai

Impact Due to use of unsafe YAML deserialization logic, an attacker with the ability to modify local YAML configuration files could provide malicious input, resulting in remote code execution or similar risks. Patches The issue can be patched by upgrading to v1.1.0 or later. It can also be patche...

Deserialization of Untrusted Data in parlai

Impact Due to use of unsafe YAML deserialization logic, an attacker with the ability to modify local YAML configuration files could provide malicious input, resulting in remote code execution or similar risks. Patches The issue can be patched by upgrading to v1.1.0 or later. It can also be patche...

CVE-2021-39207

parlai is a framework for training and evaluating AI models on a variety of openly available dialogue datasets. In affected versions the package is vulnerable to YAML deserialization attack caused by unsafe loading which leads to Arbitary code execution. This security bug is patched by avoiding...

CVE-2021-39207

parlai is a framework for training and evaluating AI models on a variety of openly available dialogue datasets. In affected versions the package is vulnerable to YAML deserialization attack caused by unsafe loading which leads to Arbitary code execution. This security bug is patched by avoiding...

CVE-2021-39207

parlai is a framework for training and evaluating AI models on a variety of openly available dialogue datasets. In affected versions the package is vulnerable to YAML deserialization attack caused by unsafe loading which leads to Arbitary code execution. This security bug is patched by avoiding...

Deserialization of untrusted data

parlai is a framework for training and evaluating AI models on a variety of openly available dialogue datasets. In affected versions the package is vulnerable to YAML deserialization attack caused by unsafe loading which leads to Arbitary code execution. This security bug is patched by avoiding...

PYSEC-2021-334

parlai is a framework for training and evaluating AI models on a variety of openly available dialogue datasets. In affected versions the package is vulnerable to YAML deserialization attack caused by unsafe loading which leads to Arbitary code execution. This security bug is patched by avoiding...

CVE-2021-39207

ParlAI is affected by a YAML deserialization vulnerability due to unsafe loading, enabling arbitrary code execution. Affected versions require upgrading to v1.1.0 or later; as a workaround, switch the loader to SafeLoader. The issue is documented across multiple sources (e.g., commit 507d066..., ...

CVE-2021-39207

parlai is a framework for training and evaluating AI models on a variety of openly available dialogue datasets. In affected versions the package is vulnerable to YAML deserialization attack caused by unsafe loading which leads to Arbitary code execution. This security bug is patched by avoiding...

CVE-2021-24040

Due to use of unsafe YAML deserialization logic, an attacker with the ability to modify local YAML configuration files could provide malicious input, resulting in remote code execution or similar risks. This issue affects ParlAI prior to v1.1.0...

CVE-2021-24040

Due to use of unsafe YAML deserialization logic, an attacker with the ability to modify local YAML configuration files could provide malicious input, resulting in remote code execution or similar risks. This issue affects ParlAI prior to v1.1.0...

CVE-2021-24040

Due to use of unsafe YAML deserialization logic, an attacker with the ability to modify local YAML configuration files could provide malicious input, resulting in remote code execution or similar risks. This issue affects ParlAI prior to v1.1.0...

Design/Logic Flaw

Due to use of unsafe YAML deserialization logic, an attacker with the ability to modify local YAML configuration files could provide malicious input, resulting in remote code execution or similar risks. This issue affects ParlAI prior to v1.1.0...

PYSEC-2021-330

Due to use of unsafe YAML deserialization logic, an attacker with the ability to modify local YAML configuration files could provide malicious input, resulting in remote code execution or similar risks. This issue affects ParlAI prior to v1.1.0...

PYSEC-2021-330

Due to use of unsafe YAML deserialization logic, an attacker with the ability to modify local YAML configuration files could provide malicious input, resulting in remote code execution or similar risks. This issue affects ParlAI prior to v1.1.0...

CVE-2021-24040

CVE-2021-24040 concerns ParlAI prior to v1.1.0, where unsafe YAML deserialization logic can be exploited if an attacker can modify local YAML configuration files, potentially leading to remote code execution or similar risks. The root cause is unsafe loading/ deserialization of YAML data in ParlA...

CVE-2021-24040

Due to use of unsafe YAML deserialization logic, an attacker with the ability to modify local YAML configuration files could provide malicious input, resulting in remote code execution or similar risks. This issue affects ParlAI prior to v1.1.0...

CVE-2021-24040

Due to use of unsafe YAML deserialization logic, an attacker with the ability to modify local YAML configuration files could provide malicious input, resulting in remote code execution or similar risks. This issue affects ParlAI prior to v1.1.0...

parlai 代码问题漏洞

parlai is used to train and evaluate AI models on a variety of publicly available conversational datasets. parlai suffers from a code issue vulnerability that stems from an insecure loading package that is vulnerable to YAML deserialization attacks in the affected version. An attacker could explo...

CVE-2021-24040: Deserialization of Untrusted Data

Due to use of unsafe YAML deserialization logic, an attacker with the ability to modify local YAML configuration files could provide malicious input, resulting in remote code execution or similar risks. This issue affects ParlAI prior to v1.1.0...