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rebuld pin shap and test
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4 files changed

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data/common-ecr-scan-allowlist.json

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"title": "CVE-2025-32434 - torch",
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"reason_to_ignore": "this container is specifically pytorch 2.5.x so we can’t upgrade to 2.6"
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}
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],
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"tar": [
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{
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"description": "node-tar, a Tar for Node.js, contains a vulnerability in versions prior to 7.5.7 where the security check for hardlink entries uses different path resolution semantics than the actual hardlink creation logic.",
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"vulnerability_id": "CVE-2026-24842",
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"name": "CVE-2026-24842",
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"package_name": "tar",
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"package_details": {
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"file_path": "/usr/local/lib/python3.12/site-packages/jupyterlab/staging/yarn.lock",
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"name": "tar",
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"package_manager": "NODE",
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"version": "6.1.11",
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"release": null
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},
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"remediation": {
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"recommendation": {
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"text": "None Provided"
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}
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},
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"cvss_v3_score": 8.2,
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"cvss_v30_score": 0.0,
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"cvss_v31_score": 8.2,
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"cvss_v2_score": 0.0,
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"cvss_v3_severity": "HIGH",
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"source_url": "https://nvd.nist.gov/vuln/detail/CVE-2026-24842",
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"source": "NVD",
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"severity": "HIGH",
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"status": "ACTIVE",
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"title": "CVE-2026-24842 - tar",
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"reason_to_ignore": "Transitive dependency in jupyterlab staging yarn.lock - not directly exploitable in training container context"
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}
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]
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}

dlc_developer_config.toml

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@@ -46,7 +46,7 @@ build_inference = false
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# Set do_build to "false" to skip builds and test the latest image built by this PR
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# Note: at least one build is required to set do_build to "false"
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do_build = false
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do_build = true
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[notify]
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### Notify on test failures

tensorflow/training/docker/2.19/py3/Dockerfile.cpu

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@@ -281,7 +281,7 @@ RUN uv pip install --system --no-cache-dir \
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"opencv-python==4.12.0.88" \
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plotly \
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seaborn \
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shap \
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"shap<0.50" \
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&& rm -rf /root/.cache/uv
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RUN uv pip install --system --no-cache-dir \

tensorflow/training/docker/2.19/py3/cu125/Dockerfile.gpu

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"opencv-python==4.11.0.86" \
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plotly \
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seaborn \
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shap \
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"shap<0.50" \
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&& rm -rf /root/.cache/uv
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RUN uv pip install --system --no-cache-dir \

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