Current parsing code is building reverse-order integer, and then calls htonl()
to assign right value to "ts_recent" field of pcb.
This works correctly on little-endian machines, where htonl() reverses bytes.
However, on big-endian machines, htonl() is no-op, so bytes stay reversed.
This patch fixes it by building non-reversed integer.
AutoIP now selects a new address after rate limit timeout,
AutoIP tries a new address by incrementing the tried_llipaddr counter
in the ACD_DECLINE case of the callback.
In lwIP pre-2.2.0, address conflict detection was handled within autoip.c, and
the incrementing happened in autoip_restart() (line 150). When ACD was
extracted into a separate module in 2.2.0, this increment was missing for the
rate-limiting path.
Without this change, devices continuously retry the same IP address after rate
limiting, causing them to fail Bonjour Conformance Tests.
The TFTP app should not bind to the TFTP server port when configured as
a client. Instead, the local port should be chosen from the dynamic
range (49152 ~ 65535) so that if the application is stopped and started
again, the remote server will not consider the new packets as part of
the same context (which would cause an error since a new RRQ would be
unexpected).
Signed-off-by: Jerome Forissier <jerome.forissier@linaro.org>
Reviewed-by: Ilias Apalodimas <ilias.apalodimas@linaro.org>
FreeBSD support is basically just very small changes related to
some different includes and one define to not hide non-standard defines
like B115200.
Signed-off-by: Arne Schwabe <arne@rfc2549.org>
In 2.2.0, mDNS needs ten extra timeouts. We didn't give it enough, which
means it didn't respond on Legacy IP because the 'recent multicast' flag
never got reset by the timer.
Define LWIP_IPV4 so that ip_addr_t has a union of ip4_addr_t and
ip6_addr_t, use appropriate accessor macros. Switch to ip4_addr_t for
Legacy IP addresses in 'struct interface'.
Rip out a bunch of nonsense code in CONFIG_IPV6, and wire up basic packet
input/output.
Prepare v2.2.0 release
Drop some LwIP changes from the Beken version:
• Some LWIP_RIPPLE20 backported fixes
• Use ETH_P_EAPOL from BDK instead of adding it to LwIP's header.
• Default value of DHCP_FINE_TIMER_MSECS
• LWIP_RANDOMIZE_INITIAL_LOCAL_PORTS is automatic now with LWIP_RAND
Also bump MEMP_NUM_SYS_TIMEOUT or tcp_tmr() doesn't work.
Multicast on WiFi generally works by sending the packet unicast to the AP,
which then sends it back out to all stations (at a slow bitrate). Ignore
our own frames; they were causing us to spam mDNS as we responded to our
own queries, and they also break IPv6 Duplicate Address Detection.
[Problem]
When using makefsdata perl script to convert shtml files with SSI tags
the shtml files get generated with text/plain content type, making
browsers not render them correctly
[Solution]
Extend the regex to generate text/html content type for any of:
.htm, .html, .shtm, .shtml extensions
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
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
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
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>
