Security Vulnerabilities - CVEs Published In July 2023
Tenda F1202 V1.0BR_V1.2.0.20(408), FH1202_V1.2.0.19_EN were discovered to contain a stack overflow in the page parameter in the function fromSafeClientFilter.
CVSS Score
9.8
EPSS Score
0.009
Published
2023-07-14
Tenda F1202 V1.0BR_V1.2.0.20(408), FH1202_V1.2.0.19_EN were discovered to contain a stack overflow in the page parameter in the function fromP2pListFilter.
CVSS Score
9.8
EPSS Score
0.009
Published
2023-07-14
Tenda F1202 V1.0BR_V1.2.0.20(408), FH1202_V1.2.0.19_EN were discovered to contain a stack overflow in the page parameter in the function fromSafeMacFilter.
CVSS Score
9.8
EPSS Score
0.009
Published
2023-07-14
Tenda F1202 V1.0BR_V1.2.0.20(408), FH1202_V1.2.0.19_EN were discovered to contain a stack overflow in the page parameter in the function fromSafeUrlFilter.
CVSS Score
9.8
EPSS Score
0.009
Published
2023-07-14
Tenda F1202 V1.0BR_V1.2.0.20(408), FH1202_V1.2.0.19_EN were discovered to contain a stack overflow in the page parameter in the function fromqossetting.
CVSS Score
9.8
EPSS Score
0.009
Published
2023-07-14
libjpeg commit db33a6e was discovered to contain a reachable assertion via BitMapHook::BitMapHook at bitmaphook.cpp. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted file.
CVSS Score
6.5
EPSS Score
0.006
Published
2023-07-13
libjpeg commit db33a6e was discovered to contain a heap buffer overflow via LineBitmapRequester::EncodeRegion at linebitmaprequester.cpp. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted file.
CVSS Score
6.5
EPSS Score
0.006
Published
2023-07-13
JS7 is an Open Source Job Scheduler. Users specify file names when uploading files holding user-generated documentation for JOC Cockpit. Specifically crafted file names allow an XSS attack to inject code that is executed with the browser. Risk of the vulnerability is considered high for branch 1.13 of JobScheduler (JS1). The vulnerability does not affect branch 2.x of JobScheduler (JS7) for releases after 2.1.0. The vulnerability is resolved with release 1.13.19.
CVSS Score
6.3
EPSS Score
0.004
Published
2023-07-13
Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. Running Auto-GPT version prior to 0.4.3 by cloning the git repo and executing `docker compose run auto-gpt` in the repo root uses a different docker-compose.yml file from the one suggested in the official docker set up instructions. The docker-compose.yml file located in the repo root mounts itself into the docker container without write protection. This means that if malicious custom python code is executed via the `execute_python_file` and `execute_python_code` commands, it can overwrite the docker-compose.yml file and abuse it to gain control of the host system the next time Auto-GPT is started. The issue has been patched in version 0.4.3.
CVSS Score
8.1
EPSS Score
0.004
Published
2023-07-13
Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. When Auto-GPT is executed directly on the host system via the provided run.sh or run.bat files, custom Python code execution is sandboxed using a temporary dedicated docker container which should not have access to any files outside of the Auto-GPT workspace directory.
Before v0.4.3, the `execute_python_code` command (introduced in v0.4.1) does not sanitize the `basename` arg before writing LLM-supplied code to a file with an LLM-supplied name. This allows for a path traversal attack that can overwrite any .py file outside the workspace directory by specifying a `basename` such as `../../../main.py`. This can further be abused to achieve arbitrary code execution on the host running Auto-GPT by e.g. overwriting autogpt/main.py which will be executed outside of the docker environment meant to sandbox custom python code execution the next time Auto-GPT is started. The issue has been patched in version 0.4.3. As a workaround, the risk introduced by this vulnerability can be remediated by running Auto-GPT in a virtual machine, or another environment in which damage to files or corruption of the program is not a critical problem.
CVSS Score
7.5
EPSS Score
0.004
Published
2023-07-13