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Merge pull request #190 from OWASP/develop
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chore: github issues archive
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82 changes: 82 additions & 0 deletions github-open-issues-exported.md
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Export of Github issues for [OWASP/www-project-machine-learning-security-top-10](https://github.com/OWASP/www-project-machine-learning-security-top-10).

# [\#189 Issue](https://github.com/OWASP/www-project-machine-learning-security-top-10/issues/189) `open`: [FEEDBACK]: Include a page with a brief descriptions of each of the vulnerabilities
**Labels**: `issues/general`, `issues/triage`


#### <img src="https://avatars.githubusercontent.com/u/64902909?u=756899683e78c4e336cc1e8a6b7584bc6b508200&v=4" width="50">[mik0w](https://github.com/mik0w) opened issue at [2023-11-23 12:08](https://github.com/OWASP/www-project-machine-learning-security-top-10/issues/189):

### Type

Suggestions for Improvement

### What would you like to report?

For example in Top10 for LLM there's this page with a summary of each of the vulnerabilities, which I think would be pretty useful to have in Top10 for ML as well.

Sometimes when you e.g. work on some slides for a presentation, you just want to get a short summary of each of the vulnerabilities. In my opinion including such a page in Top10 for ML would be an improvement:

![summary](https://github.com/OWASP/www-project-machine-learning-security-top-10/assets/64902909/0bc2b1c8-43a0-4a5d-b549-71cf83e897c1)

### Code of Conduct

- [X] I agree to follow this project's Code of Conduct




-------------------------------------------------------------------------------

# [\#188 Issue](https://github.com/OWASP/www-project-machine-learning-security-top-10/issues/188) `open`: [FEEDBACK]: Include MLOps vulnerabilties somewhere in the Supply Chain Security category
**Labels**: `issues/general`, `issues/triage`


#### <img src="https://avatars.githubusercontent.com/u/64902909?u=756899683e78c4e336cc1e8a6b7584bc6b508200&v=4" width="50">[mik0w](https://github.com/mik0w) opened issue at [2023-11-17 10:26](https://github.com/OWASP/www-project-machine-learning-security-top-10/issues/188):

### Type

Suggestions for Improvement

### What would you like to report?

**Context**
One of the parts of the supply chain in modern ML systems is MLOps software - like i.e. MLFlow, Prefect etc. Those systems are vulnerable to classic web based attacks and they seem to be "misconfured by default". I've described it here: https://hackstery.com/2023/10/13/no-one-is-prefect-is-your-mlops-infrastructure-leaking-secrets/ or here: https://github.com/logspace-ai/langflow/issues/1145

**Suggestion for improvement**
I'd suggest including MLOps-related vulnerabilities in the ML06 (or maybe in some other categories as well? I am open for suggestions).

### Code of Conduct

- [X] I agree to follow this project's Code of Conduct




-------------------------------------------------------------------------------

# [\#187 Issue](https://github.com/OWASP/www-project-machine-learning-security-top-10/issues/187) `open`: [FEEDBACK]: Sync attack names between LLMT10 and MLT10 where appropriate
**Labels**: `issues/general`, `issues/triage`


#### <img src="https://avatars.githubusercontent.com/u/795878?u=d704fd433504e531d707c517cdb6ff75bdf20372&v=4" width="50">[kapsolas](https://github.com/kapsolas) opened issue at [2023-11-16 22:16](https://github.com/OWASP/www-project-machine-learning-security-top-10/issues/187):

### Type

Suggestions for Improvement

### What would you like to report?

I would like to make the suggestion that we consolidate the terms used in the LLM and ML top 10 documents.

Many of the top 10 items in each are closely related or even the same.
Where possible, the same term should be used (i.e. Model Theft vs Model Stealing, Data Poisoning Attack vs Training data Poisoning).

Thanks!

### Code of Conduct

- [X] I agree to follow this project's Code of Conduct




-------------------------------------------------------------------------------

# [\#182 Issue](https://github.com/OWASP/www-project-machine-learning-security-top-10/issues/182) `open`: fix: merge review from @harrietf
**Labels**: `issues/triage`, `review needed`

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22 changes: 22 additions & 0 deletions issues/2023-11-15.186.pr.merged.md
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# [\#186 PR](https://github.com/OWASP/www-project-machine-learning-security-top-10/pull/186) `merged`: chore: archive github issues

#### <img src="https://avatars.githubusercontent.com/u/412800?v=4" width="50">[shsingh](https://github.com/shsingh) opened issue at [2023-11-15 03:53](https://github.com/OWASP/www-project-machine-learning-security-top-10/pull/186):

- chore: add mik0w to CODEOWNERS
- fix: test updating ML06 to verify CODEOWNERS working
- docs: add @adityoari as a contributor
- docs: update @aryanxk02 as a contributor
- chore: add adityoari to CONTRIBUTORS
- fix: README formatting
- chore: add yodap-dg to CODEOWNERS
- chore: archive gh issues





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[Export of Github issue for [OWASP/www-project-machine-learning-security-top-10](https://github.com/OWASP/www-project-machine-learning-security-top-10).]
31 changes: 31 additions & 0 deletions issues/2023-11-16.187.issue.open.md
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# [\#187 Issue](https://github.com/OWASP/www-project-machine-learning-security-top-10/issues/187) `open`: [FEEDBACK]: Sync attack names between LLMT10 and MLT10 where appropriate
**Labels**: `issues/general`, `issues/triage`


#### <img src="https://avatars.githubusercontent.com/u/795878?u=d704fd433504e531d707c517cdb6ff75bdf20372&v=4" width="50">[kapsolas](https://github.com/kapsolas) opened issue at [2023-11-16 22:16](https://github.com/OWASP/www-project-machine-learning-security-top-10/issues/187):

### Type

Suggestions for Improvement

### What would you like to report?

I would like to make the suggestion that we consolidate the terms used in the LLM and ML top 10 documents.

Many of the top 10 items in each are closely related or even the same.
Where possible, the same term should be used (i.e. Model Theft vs Model Stealing, Data Poisoning Attack vs Training data Poisoning).

Thanks!

### Code of Conduct

- [X] I agree to follow this project's Code of Conduct




-------------------------------------------------------------------------------



[Export of Github issue for [OWASP/www-project-machine-learning-security-top-10](https://github.com/OWASP/www-project-machine-learning-security-top-10).]
30 changes: 30 additions & 0 deletions issues/2023-11-17.188.issue.open.md
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# [\#188 Issue](https://github.com/OWASP/www-project-machine-learning-security-top-10/issues/188) `open`: [FEEDBACK]: Include MLOps vulnerabilties somewhere in the Supply Chain Security category
**Labels**: `issues/general`, `issues/triage`


#### <img src="https://avatars.githubusercontent.com/u/64902909?u=756899683e78c4e336cc1e8a6b7584bc6b508200&v=4" width="50">[mik0w](https://github.com/mik0w) opened issue at [2023-11-17 10:26](https://github.com/OWASP/www-project-machine-learning-security-top-10/issues/188):

### Type

Suggestions for Improvement

### What would you like to report?

**Context**
One of the parts of the supply chain in modern ML systems is MLOps software - like i.e. MLFlow, Prefect etc. Those systems are vulnerable to classic web based attacks and they seem to be "misconfured by default". I've described it here: https://hackstery.com/2023/10/13/no-one-is-prefect-is-your-mlops-infrastructure-leaking-secrets/ or here: https://github.com/logspace-ai/langflow/issues/1145

**Suggestion for improvement**
I'd suggest including MLOps-related vulnerabilities in the ML06 (or maybe in some other categories as well? I am open for suggestions).

### Code of Conduct

- [X] I agree to follow this project's Code of Conduct




-------------------------------------------------------------------------------



[Export of Github issue for [OWASP/www-project-machine-learning-security-top-10](https://github.com/OWASP/www-project-machine-learning-security-top-10).]
30 changes: 30 additions & 0 deletions issues/2023-11-23.189.issue.open.md
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# [\#189 Issue](https://github.com/OWASP/www-project-machine-learning-security-top-10/issues/189) `open`: [FEEDBACK]: Include a page with a brief descriptions of each of the vulnerabilities
**Labels**: `issues/general`, `issues/triage`


#### <img src="https://avatars.githubusercontent.com/u/64902909?u=756899683e78c4e336cc1e8a6b7584bc6b508200&v=4" width="50">[mik0w](https://github.com/mik0w) opened issue at [2023-11-23 12:08](https://github.com/OWASP/www-project-machine-learning-security-top-10/issues/189):

### Type

Suggestions for Improvement

### What would you like to report?

For example in Top10 for LLM there's this page with a summary of each of the vulnerabilities, which I think would be pretty useful to have in Top10 for ML as well.

Sometimes when you e.g. work on some slides for a presentation, you just want to get a short summary of each of the vulnerabilities. In my opinion including such a page in Top10 for ML would be an improvement:

![summary](https://github.com/OWASP/www-project-machine-learning-security-top-10/assets/64902909/0bc2b1c8-43a0-4a5d-b549-71cf83e897c1)

### Code of Conduct

- [X] I agree to follow this project's Code of Conduct




-------------------------------------------------------------------------------



[Export of Github issue for [OWASP/www-project-machine-learning-security-top-10](https://github.com/OWASP/www-project-machine-learning-security-top-10).]

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