* Add CodeQL Workflow for Code Security Analysis
Add CodeQL Workflow for Code Security Analysis
This pull request introduces a CodeQL workflow to enhance the security analysis of our repository. CodeQL is a powerful static analysis tool that helps identify and mitigate security vulnerabilities in our codebase. By integrating this workflow into our GitHub Actions, we can proactively identify and address potential issues before they become security threats.
We added a new CodeQL workflow file (.github/workflows/codeql.yml) that
- Runs on every push and pull request to the main branch.
- Excludes queries with a high false positive rate or low-severity findings.
- Does not display results for third-party code, focusing only on our own codebase.
Testing:
To validate the functionality of this workflow, we have run several test scans on the codebase and reviewed the results. The workflow successfully compiles the project, identifies issues, and provides actionable insights while reducing noise by excluding certain queries and third-party code.
Deployment:
Once this pull request is merged, the CodeQL workflow will be active and automatically run on every push and pull request to the main branch. To view the results of these code scans, please follow these steps:
1. Under the repository name, click on the Security tab.
2. In the left sidebar, click Code scanning alerts.
Additional Information:
- You can further customize the workflow to adapt to your specific needs by modifying the workflow file.
- For more information on CodeQL and how to interpret its results, refer to the GitHub documentation and the CodeQL documentation.
Signed-off-by: Brian <bayuan@purdue.edu>
* Add CodeQL Workflow for Code Security Analysis
Add CodeQL Workflow for Code Security Analysis
This pull request introduces a CodeQL workflow to enhance the security analysis of our repository. CodeQL is a powerful static analysis tool that helps identify and mitigate security vulnerabilities in our codebase. By integrating this workflow into our GitHub Actions, we can proactively identify and address potential issues before they become security threats.
We added a new CodeQL workflow file (.github/workflows/codeql.yml) that
- Runs on every pull request (functionality to run on every push to main branches is included as a comment for convenience).
- Runs daily.
- Excludes queries with a high false positive rate or low-severity findings.
- Does not display results for git submodules, focusing only on our own codebase.
Testing:
To validate the functionality of this workflow, we have run several test scans on the codebase and reviewed the results. The workflow successfully compiles the project, identifies issues, and provides actionable insights while reducing noise by excluding certain queries and third-party code.
Deployment:
Once this pull request is merged, the CodeQL workflow will be active and automatically run on every push and pull request to the main branch. To view the results of these code scans, please follow these steps:
1. Under the repository name, click on the Security tab.
2. In the left sidebar, click Code scanning alerts.
Additional Information:
- You can further customize the workflow to adapt to your specific needs by modifying the workflow file.
- For more information on CodeQL and how to interpret its results, refer to the GitHub documentation and the CodeQL documentation (https://codeql.github.com/ and https://codeql.github.com/docs/).
Signed-off-by: Brian <bayuan@purdue.edu>
* Add CodeQL Workflow for Code Security Analysis
Add CodeQL Workflow for Code Security Analysis
This pull request introduces a CodeQL workflow to enhance the security analysis of our repository. CodeQL is a powerful static analysis tool that helps identify and mitigate security vulnerabilities in our codebase. By integrating this workflow into our GitHub Actions, we can proactively identify and address potential issues before they become security threats.
We added a new CodeQL workflow file (.github/workflows/codeql.yml) that
- Runs on every pull request (functionality to run on every push to main branches is included as a comment for convenience).
- Runs daily.
- Excludes queries with a high false positive rate or low-severity findings.
- Does not display results for git submodules, focusing only on our own codebase.
Testing:
To validate the functionality of this workflow, we have run several test scans on the codebase and reviewed the results. The workflow successfully compiles the project, identifies issues, and provides actionable insights while reducing noise by excluding certain queries and third-party code.
Deployment:
Once this pull request is merged, the CodeQL workflow will be active and automatically run on every push and pull request to the main branch. To view the results of these code scans, please follow these steps:
1. Under the repository name, click on the Security tab.
2. In the left sidebar, click Code scanning alerts.
Additional Information:
- You can further customize the workflow to adapt to your specific needs by modifying the workflow file.
- For more information on CodeQL and how to interpret its results, refer to the GitHub documentation and the CodeQL documentation (https://codeql.github.com/ and https://codeql.github.com/docs/).
Signed-off-by: Brian <bayuan@purdue.edu>
* Add CodeQL Workflow for Code Security Analysis
Add CodeQL Workflow for Code Security Analysis
This pull request introduces a CodeQL workflow to enhance the security analysis of our repository. CodeQL is a powerful static analysis tool that helps identify and mitigate security vulnerabilities in our codebase. By integrating this workflow into our GitHub Actions, we can proactively identify and address potential issues before they become security threats.
We added a new CodeQL workflow file (.github/workflows/codeql.yml) that
- Runs on every pull request (functionality to run on every push to main branches is included as a comment for convenience).
- Runs daily.
- Excludes queries with a high false positive rate or low-severity findings.
- Does not display results for git submodules, focusing only on our own codebase.
Testing:
To validate the functionality of this workflow, we have run several test scans on the codebase and reviewed the results. The workflow successfully compiles the project, identifies issues, and provides actionable insights while reducing noise by excluding certain queries and third-party code.
Deployment:
Once this pull request is merged, the CodeQL workflow will be active and automatically run on every push and pull request to the main branch. To view the results of these code scans, please follow these steps:
1. Under the repository name, click on the Security tab.
2. In the left sidebar, click Code scanning alerts.
Additional Information:
- You can further customize the workflow to adapt to your specific needs by modifying the workflow file.
- For more information on CodeQL and how to interpret its results, refer to the GitHub documentation and the CodeQL documentation (https://codeql.github.com/ and https://codeql.github.com/docs/).
Signed-off-by: Brian <bayuan@purdue.edu>
* Update codeql-buildscript.sh
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Signed-off-by: Brian <bayuan@purdue.edu>
When entering a file name, eg. 'test' it whould output the following
with 2 stale letters of the former input string:
[14:41:58.987] Send file with XMODEM
[14:42:08.015] Sending file 'test'st
[14:42:08.015] Press any key to abort transfer
To avoid this we simply overwrite the 2 stale letters with whitespaces.
Add --log-append option which makes tio append to any existing log file.
This also changes the default behaviour of tio from appending to
overwriting any existing log file. Now you have to use this new option
to make tio append.
The response wait feature waited for a line response, a string
terminated with either CR or NL. However, some devices may send a CR and
then their line content and then NL. This means tio will quit before
receiving and printing the line response. To solve this we simply ignore
the CR character and only consider lines terminated with a NL character.
This should work for all devices as lines are AFAIK always terminated
with either CRNL or a NL.
