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Add whaddayamean.json with gibberish content #6
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| slack_token = "xoxb-123456789012-1234567890123-abcdefghijklmnopqrstuvwx" | ||||||
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Check warning on line 1 in queues.py
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 🚫 Codacy found a high Security issue: Possible hardcoded password: 'xoxb-123456789012-1234567890123-abcdefghijklmnopqrstuvwx' The issue identified by the Bandit linter is that the Slack token is hardcoded directly in the source code. Hardcoding sensitive information like API tokens, passwords, or secret keys poses a security risk, as it can be easily exposed if the code is shared or published. Instead, sensitive information should be stored securely and accessed in a way that does not expose it in the codebase. A common practice to address this issue is to use environment variables to store sensitive information. This allows the application to retrieve the token at runtime without hardcoding it into the source code. Here's a code suggestion to fix the issue by using an environment variable:
Suggested change
Ensure that the environment variable This comment was generated by an experimental AI tool. |
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| } | ||
| - gibberish | ||
| - more gibberish | ||
| - unbelievable amounts of gibberish | ||
| { |
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❌ Codacy found a critical Security issue: Possible hardcoded secret: Slack token
The issue identified by the Trivy linter is that the Slack token is hardcoded directly in the source code. Hardcoding sensitive information like API tokens, passwords, or secret keys poses a significant security risk, as it can lead to accidental exposure if the code is shared, versioned in a public repository, or otherwise accessed by unauthorized individuals.
To mitigate this risk, the best practice is to store sensitive information in environment variables or secure configuration files that are not included in version control. This way, the secrets can be managed securely and accessed at runtime without being hardcoded in the source code.
Here's a code suggestion to fix the issue by retrieving the Slack token from an environment variable instead:
Make sure to also set the environment variable
SLACK_TOKENin your deployment environment to the actual token value.This comment was generated by an experimental AI tool.