release 0.9.0 #2239
release 0.9.0 #2239
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Dev/v0.7.0
update the version and dependent libs.
[CoreEngine] remove the deprecated files in the scheduler.
…gging Inference Gateway Logs
…/FedML into raphael/fix-multi-subfd
[Deploy] Recursively find the model serving package folder
[Deploy] Hot fix grammar.
…tfix Hot fix to support local debugging
…n Windows OS. 2. fixed the issue the sqlite path is illegal in Windows OS.
[CoreEngine] 1. fixed the issue that the fork method is not support i…
…counter Adding hash set for counting the number of pending requests per endpoint.
…d_urls Moving from storage object to presigned URLs
[Deploy] Refactor the quick start example, use public ip as default.
…ed architecture that supports Launch Master, Launch Slave, Deploy Master, and Deploy Slave at the same time.
…ateway performance
…disable MQTT debug logging
update dev/0.7.0 to charlie dev branch
Deployment and Inference Module Performance Optimization Project
![github-advanced-security[bot]](https://avatars.githubusercontent.com/in/57789?s=60&v=4){kind=small}
| logging.info("=" * 80) | ||
| logging.info("[Device Model Deployment] Creating container with following parameters:") | ||
| logging.info("=" * 80) | ||
| logging.info("Image: {}".format(inference_image_name)) |
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Code scanning / CodeQL
Clear-text logging of sensitive information High
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Copilot Autofix AI 26 days ago
To fix the problem, we should avoid logging any potentially sensitive information. Instead of logging the inference_image_name directly, we can log a sanitized version or avoid logging it altogether. We should also review other logging statements to ensure no sensitive information is being logged.
The best way to fix this without changing existing functionality is to sanitize the inference_image_name before logging it. We can replace sensitive parts of the string with a placeholder or simply avoid logging it if it contains sensitive information.
| @@ -223,3 +223,4 @@ | ||
| logging.info("=" * 80) | ||
| logging.info("Image: {}".format(inference_image_name)) | ||
| sanitized_inference_image_name = inference_image_name.replace(registry_user_password, "****") if registry_user_password in inference_image_name else inference_image_name | ||
| logging.info("Image: {}".format(sanitized_inference_image_name)) | ||
| logging.info("Container name: {}".format(default_server_container_name)) |
[debug] Remove verbose logging in job monitor
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