deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29531 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29531 Source advisory: OSV:GHSA-3QXP-QJQ7-W4HF...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29529 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29529 Source advisory: OSV:GHSA-JFP7-4J67-8R3Q...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29528 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29528 Source advisory: OSV:GHSA-6F84-42VF-PPWP...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29527 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29527 Source advisory: OSV:GHSA-X4G7-FVJJ-PRG8...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29526 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29526 Source advisory: OSV:GHSA-4VF2-4XCG-65CX...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29525 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29525 Source advisory: OSV:GHSA-XM2V-8RRW-W9PM...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29524 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29524 Source advisory: OSV:GHSA-R4PJ-74MG-8868...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29523 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29523 Source advisory: OSV:GHSA-2CPX-427X-Q2C6...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29522 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29522 Source advisory: OSV:GHSA-C968-PQ7H-7FXV...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29521 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29521 Source advisory: OSV:GHSA-HR84-FQVP-48MM...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29520 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29520 Source advisory: OSV:GHSA-WCV5-QRJ6-9PFM...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29519 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29519 Source advisory: OSV:GHSA-772J-H9XW-FFP5...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29518 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29518 Source advisory: OSV:GHSA-62GX-355R-9FHG...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29517 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29517 Source advisory: OSV:GHSA-772P-X54P-HJRV...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29516 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29516 Source advisory: OSV:GHSA-84MW-34W6-2Q43...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29515 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29515 Source advisory: OSV:GHSA-HC6C-75P4-HMQ4...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29514 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29514 Source advisory: OSV:GHSA-8H46-5M9H-7553...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29512 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29512 Source advisory: OSV:GHSA-4278-2V5V-65R4...

AutoPentest-DRL - Automated Penetration Testing Using Deep Reinforcement Learning

AutoPentest-DRL is an automated penetration testing framework based on Deep Reinforcement Learning DRL techniques. The framework determines the most appropriate attack path for a given network, and can be used to execute a simulated attack on that network via penetration testing tools, such as...

Information Disclosure Vulnerability in the Behavior Awareness System of Deep Impact Technology Co.

Ltd. is a provider of products and services focused on enterprise-class security, cloud computing, IT infrastructure and Internet of Things. An information leakage vulnerability exists in the behavior-awareness system of Deep Impact Technology Co. An attacker can use this vulnerability to obtain...