Deserialization of untrusted data

pytorch-lightning is vulnerable to Deserialization of Untrusted Data...

PYSEC-2021-874

pytorch-lightning is vulnerable to Deserialization of Untrusted Data...

PYSEC-2021-874

pytorch-lightning is vulnerable to Deserialization of Untrusted Data...

CVE-2021-4118

CVE-2021-4118 affects pytorch-lightning and is described as a Deserialization of Untrusted Data vulnerability. The CVSS3 data in the records indicates a HIGH impact on confidentiality, integrity, and availability with a LOCAL attack vector, LOW attack complexity, no privileges required, and USER ...

CVE-2021-4118 Deserialization of Untrusted Data in pytorchlightning/pytorch-lightning

pytorch-lightning is vulnerable to Deserialization of Untrusted Data...

CVE-2021-4118

pytorch-lightning is vulnerable to Deserialization of Untrusted Data...

CVE-2021-4118: Deserialization of Untrusted Data

pytorch-lightning is vulnerable to Deserialization of Untrusted Data...

Pytorch-Lightning 代码问题漏洞

Pytorch-Lightning is an open source lightweight PyTorch wrapper. Used for high-performance Ai research. pytorch-lightning suffers from a code issue vulnerability that stems from the software's tendency to deserialize untrustworthy data, which can be exploited by an attacker to cause code executio...

PT-2021-23155

Name of the Vulnerable Software and Affected Versions pytorch-lightning affected versions not specified Description The issue concerns the deserialization of untrusted data in pytorch-lightning. There is no information provided about the estimated number of potentially affected devices worldwide ...

CVE-2021-43811

Sockeye is an open-source sequence-to-sequence framework for Neural Machine Translation built on PyTorch. Sockeye uses YAML to store model and data configurations on disk. Versions below 2.3.24 use unsafe YAML loading, which can be made to execute arbitrary code embedded in config files. An...

CVE-2021-43811

Sockeye is an open-source sequence-to-sequence framework for Neural Machine Translation built on PyTorch. Sockeye uses YAML to store model and data configurations on disk. Versions below 2.3.24 use unsafe YAML loading, which can be made to execute arbitrary code embedded in config files. An...

PYSEC-2021-848

Sockeye is an open-source sequence-to-sequence framework for Neural Machine Translation built on PyTorch. Sockeye uses YAML to store model and data configurations on disk. Versions below 2.3.24 use unsafe YAML loading, which can be made to execute arbitrary code embedded in config files. An...

CVE-2021-43811 Code injection via unsafe YAML loading

Sockeye is an open-source sequence-to-sequence framework for Neural Machine Translation built on PyTorch. Sockeye uses YAML to store model and data configurations on disk. Versions below 2.3.24 use unsafe YAML loading, which can be made to execute arbitrary code embedded in config files. An...

CVE-2021-43811

Sockeye (PyTorch-based) vulnerable to code execution via unsafe YAML loading in model/data config files when using versions below 2.3.24; an attacker can inject malicious config, which executes locally when a user runs the model. The issue is fixed in 2.3.24. Practical impact is limited to users ...

CVE-2021-43811: Improper Control of Generation of Code

Sockeye is an open-source sequence-to-sequence framework for Neural Machine Translation built on PyTorch. Sockeye uses YAML to store model and data configurations on disk. Versions below 2.3.24 use unsafe YAML loading, which can be made to execute arbitrary code embedded in config files. An...

optimuspyspark (>=2.0.4, <=2.0.6), pytorch-es (>=0.1.0, <=0.1.1) +2 more potentially affected by CVE-2021-41197 via tensorflow (1.6.0)

tensorflow PYPI version 1.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - optimuspyspark =2.0.4, =0.1.0, =0.12.0, =0.7.2, =0.10.0 Source cves: CVE-2021-41197 Source advisory: OSV:GHSA-PRCG-WP5Q-RV7P...

optimuspyspark (>=2.0.4, <=2.0.6), pytorch-es (>=0.1.0, <=0.1.1) +2 more potentially affected by CVE-2021-41199 via tensorflow (1.6.0)

tensorflow PYPI version 1.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - optimuspyspark =2.0.4, =0.1.0, =0.12.0, =0.7.2, =0.10.0 Source cves: CVE-2021-41199 Source advisory: OSV:GHSA-5HX2-QX8J-QJQM...

optimuspyspark (>=2.0.4, <=2.0.6), pytorch-es (>=0.1.0, <=0.1.1) +2 more potentially affected by CVE-2021-41206 via tensorflow (1.6.0)

tensorflow PYPI version 1.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - optimuspyspark =2.0.4, =0.1.0, =0.12.0, =0.7.2, =0.10.0 Source cves: CVE-2021-41206 Source advisory: OSV:GHSA-PGCQ-H79J-2F69...

optimuspyspark (>=2.0.4, <=2.0.6), pytorch-es (>=0.1.0, <=0.1.1) +2 more potentially affected by CVE-2021-41207 via tensorflow (1.6.0)

tensorflow PYPI version 1.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - optimuspyspark =2.0.4, =0.1.0, =0.12.0, =0.7.2, =0.10.0 Source cves: CVE-2021-41207 Source advisory: OSV:GHSA-7V94-64HJ-M82H...

optimuspyspark (>=2.0.4, <=2.0.6), pytorch-es (>=0.1.0, <=0.1.1) +2 more potentially affected by CVE-2021-41216 via tensorflow (1.6.0)

tensorflow PYPI version 1.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - optimuspyspark =2.0.4, =0.1.0, =0.12.0, =0.7.2, =0.10.0 Source cves: CVE-2021-41216 Source advisory: OSV:GHSA-3FF2-R28G-W7H9...