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chore: clean up stale Dependabot alerts - #834

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John Kennedy (jkennedyvz) merged 2 commits into
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jk/dependabot-stale-lock-cleanup
Jul 14, 2026
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chore: clean up stale Dependabot alerts#834
John Kennedy (jkennedyvz) merged 2 commits into
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jk/dependabot-stale-lock-cleanup

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@jkennedyvz John Kennedy (jkennedyvz) commented Jul 14, 2026

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Summary

  • remove the orphaned samples/uv.lock and invalid /samples uv Dependabot target
  • update the Azure PostgreSQL development lockfile and normalize returned pgvector embeddings before LangChain MMR reranking
  • expand .gitignore coverage for common secret files

Validation

  • UV_PYTHON=3.13 NO_COLOR=1 make -C libs/azure-postgresql lint (source lint passes; tests still report existing missing-docstring violations)
  • NO_COLOR=1 uv run --directory libs/azure-postgresql --python 3.13 --frozen --no-default-groups --all-extras --group test_integration --group test pytest -m compile tests/integration_tests
  • helper/MMR smoke checks with pgvector Vector inputs; targeted DB MMR test skipped locally because PGHOST is not set

Made by Open SWE

@jkennedyvz
John Kennedy (jkennedyvz) enabled auto-merge (squash) July 14, 2026 08:32
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
@jkennedyvz
John Kennedy (jkennedyvz) merged commit b7c2309 into main Jul 14, 2026
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@jkennedyvz
John Kennedy (jkennedyvz) deleted the jk/dependabot-stale-lock-cleanup branch July 14, 2026 09:11
Facundo Santiago (santiagxf) pushed a commit that referenced this pull request Jul 28, 2026
…2026-59935) (#872)

pypdf ==6.11.0 is vulnerable to an infinite loop via crafted PDFs with
unterminated inline images using ASCII85/ASCIIHex filters. Fixed in
6.14.2.

## Changes

- **`samples/react-agent-docintelligence/pyproject.toml`**: Added
`[tool.uv] constraint-dependencies` to enforce `pypdf>=6.14.2`. This
guards against the vulnerable version being resolved if pypdf enters the
transitive graph in the future.
- **`samples/cosmosdb-nosql/langchain_rag.ipynb`**: Pinned
`pypdf>=6.14.2` in the `%pip install` cell (was unpinned).
- **`samples/rag-storage-document-loaders/requirements.txt`**: Already
pinned to `pypdf==6.14.2` — no change needed.

## Reachability Assessment

**Not currently reachable — high confidence.**

The Dependabot alert references `samples/uv.lock`, an orphaned
workspace-level lock file removed in PR #834. It no longer exists.
Running `uv lock` against `react-agent-docintelligence` confirms pypdf
is absent from all 151 resolved packages — none of the direct
dependencies (`langchain==1.3.14`,
`langchain-azure-ai[opentelemetry,tools]`,
`langchain-azure-dynamic-sessions`) pull it in. The
`constraint-dependencies` entry is a forward-looking guard, not a fix
for an active exposure.

<!-- START COPILOT ORIGINAL PROMPT -->



<details>

<summary>Original prompt</summary>

> 
> ----
> 
> *This section details the Dependabot vulnerability alert you should
resolve*
> 
> <alert_title>pypdf: Possible infinite loop for not terminated inline
images (ASCII85 and ASCIIHex filter)</alert_title>
> <alert_description>### Impact
> 
> An attacker who uses this vulnerability can craft a PDF which leads to
an infinite loop. This requires parsing the content stream of a page
with a not terminated inline image, as done when extracting the page
text for example. It only affects the ASCII85 and ASCIIHex filters.
> 
> ### Patches
> 
> This has been fixed in
[pypdf==6.14.2](https://github.com/py-pdf/pypdf/releases/tag/6.14.2).
> 
> ### Workarounds
> 
> If you cannot upgrade yet, consider applying the changes from PR
[#3892](https://github.com/py-pdf/pypdf/pull/3892).</alert_description>
> 
> <severity>high</severity>
> <identifiers>GHSA-g867-7843-wf8q, CVE-2026-59935</identifiers>
> <package>pypdf</package>
> <ecosystem>pip</ecosystem>
> <vulnerable_versions>= 6.11.0</vulnerable_versions>
> <patched_version>6.14.2</patched_version>
> <manifest_path>samples/uv.lock</manifest_path>
> 
> <references>
>
<url>https://github.com/py-pdf/pypdf/security/advisories/GHSA-g867-7843-wf8q</url>
> <url>https://nvd.nist.gov/vuln/detail/CVE-2026-59935</url>
> <url>https://github.com/py-pdf/pypdf/pull/3892</url>
>
<url>https://github.com/py-pdf/pypdf/commit/5a33a46416aa1ae6c025ff90a3cca57631fdafd2</url>
> <url>https://github.com/py-pdf/pypdf/releases/tag/6.14.2</url>
> <url>https://github.com/advisories/GHSA-g867-7843-wf8q</url>
> </references>
> 
> <task_instructions>Resolve this alert by updating the affected package
to a non-vulnerable version. Prefer the lowest non-vulnerable version
(see the patched_version field above) over the latest to minimize
breaking changes. Include a Reachability Assessment section in the PR
description. Review the alert_description field to understand which
APIs, features, or configurations are affected, then search the codebase
for usage of those specific items. If the vulnerable code path is
reachable, explain how (which files, APIs, or call sites use the
affected functionality) and note that the codebase is actively exposed
to this vulnerability. If the vulnerable code path is not reachable,
explain why (e.g. the affected API is never called, the vulnerable
configuration is not used) and note that the update is primarily to
satisfy vulnerability scanners rather than to address an active risk. If
the advisory is too vague to determine reachability (e.g. 'improper
input validation' with no specific API named), state that reachability
could not be determined and explain why. Include a confidence level in
the reachability assessment (e.g. high confidence if the advisory names
a specific API and you confirmed it is or is not called, low confidence
if the usage is indirect and hard to trace). If no patched version is
available, check the alert_description field for a Workarounds section —
the advisory may describe configuration changes or usage patterns that
mitigate the vulnerability without a version update. If a workaround is
available, apply it and leave a code comment referencing the advisory
identifier explaining it is a temporary mitigation. If neither a patch
nor a workaround is available, explain in the PR description why the
alert cannot be resolved automatically so a human reviewer can take
over. Inspect the repository to determine which package manager is used
(e.g. lock files, config files, build scripts) and use that tooling to
perform the update — do not edit lock files directly. If the version
constraint in the manifest (e.g. package.json, Gemfile, pyproject.toml)
caps the version below the fix, update the constraint first. For
transitive dependencies, determine whether it is simpler to update the
direct dependency that pulls in the vulnerable package or to update the
transitive dependency directly, and choose the least disruptive
approach. If upgrading to fix the vulnerability forces a major version
bump or known breaking changes, review the changelog or release notes,
then audit the codebase for usage of affected APIs and fix any breaking
changes that are found. If the package manager fails to resolve
dependencies (e.g. peer dependency conflicts, incompatible engine
constraints), document the error in the PR description rather than
attempting increasingly complex workarounds. After updating, check the
lock file to confirm the package no longer resolves to a version in the
vulnerable range. Keep changes minimal and tightly scoped. Ensure tests,
build, type checking, and linting all pass after your changes. If there
are any test, lint, or typechecking failures, investigate whether they
are caused by the update and fix them if so — do not leave broken tests
in the PR. If they were already present before the update, note them in
the PR description so a human reviewer can assess whether they are
related.</task_instructions>
> 


</details>



<!-- START COPILOT CODING AGENT SUFFIX -->

- Resolves langchain-ai/langchain-azure alert #736

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
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