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<title>Ipynb credential check — check your notebook free</title>
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<h1>Ipynb credential check — check your notebook free</h1>
<p class="lede">Audits saved .ipynb cell outputs for live credentials, customer personal data and internal hostnames before you share, commit or attach the notebook. Runs entirely in your browser — nothing is uploaded.</p>
<textarea id="src" spellcheck="false">{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Q3 churn model — customer extract\nRun top to bottom, then send to the risk team."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"source": [
"import os, json\n",
"print(json.dumps({k: v for k, v in os.environ.items() if \"KEY\" in k or \"TOKEN\" in k}, indent=0))\n"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"{'STRIPE_API_KEY': 'sk-live-9f2Hq4RtVbN0pLxZ7mCe31',\n",
"'AWS_ACCESS_KEY_ID': 'AKIA7Y3QWXZM4RLPB2VD',\n",
"'GH_BUILD_TOKEN': 'ghp_8sKd02QmNzVxLa91TrYbUw44JhEoPc7Mi3Zq'}\n"
]
}
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"source": [
"password = \"Rh7!kappaNord22\"\n",
"conn = f\"postgresql://analytics:{password}@db-risk-02.corp:5432/customers\"\n",
"print(\"connecting ->\", conn)\n"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"connecting -> postgresql://analytics:Rh7!kappaNord22@db-risk-02.corp:5432/customers\n"
]
}
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"source": [
"df = pd.read_sql(\"select * from customers limit 3\", conn)\n",
"df.head()\n"
],
"outputs": [
{
"output_type": "execute_result",
"execution_count": null,
"metadata": {},
"data": {
"text/plain": [
" name contact_email iban card_number\n",
"0 J. Larsson jonas.larsson@nordbank.de DE44500105175407324931 4539 8812 7745 1002\n",
"1 M. Keller m.keller@heilbronn-gmbh.de DE02120300000000202051 5425 2334 3010 9903\n",
"2 A. Dupont a.dupont@cabinet-ld.fr FR7630006000011234567890189 4916 7712 3344 5566\n"
]
}
}
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"source": [
"r = requests.post(AUTH, data=creds)\n",
"print(r.json()[\"access_token\"])\n"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJzdmMtcmlzay0wMiIsImV4cCI6MTc5MjM0NTYwMH0.Qm4bTpLx91VsKdEa02NcRwZgYhUoJf7M\n"
]
}
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"source": [
"score = model.predict(features)\n"
],
"outputs": [
{
"output_type": "error",
"ename": "FileNotFoundError",
"evalue": "[Errno 2] No such file or directory: '/home/jlarsson/risk/model_v7.pkl'",
"traceback": [
"Traceback (most recent call last):",
" File \"/home/jlarsson/risk/score.py\", line 41, in <module>",
" Retrying against fallback host mlflow-01.internal (10.42.7.18)",
"FileNotFoundError: [Errno 2] No such file or directory: '/home/jlarsson/risk/model_v7.pkl'"
]
}
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"name": "python",
"version": "3.12.4"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"state": {
"a1b2": {
"model_name": "FloatProgressModel",
"state": {
"description": "scoring customers"
}
}
},
"version_major": 2
}
}
},
"nbformat": 4,
"nbformat_minor": 5
}</textarea>
<div class="bar"><button id="go">Check</button><label>as of <input type="date" id="today"></label></div>
<div id="out" aria-live="polite"></div>
<div id="paid"><strong>Free here:</strong> Audit the notebook you have open and name every leaking output cell, line by line.. <strong>In the editor:</strong> Sweep every .ipynb in the workspace and export the dated audit record you keep on file. — that part asks for a licence key.</div>
<p class="note">Same engine as the VS Code extension, byte for byte.</p>
</div>
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"fine_cap": "EUR 20 million or 4 % of total worldwide annual turnover (GDPR Art. 83(5))",
"pat": "\\bAKIA[0-9A-Z]{16}\\b",
"msg": "\"{hit}\" is a live AWS access key id sitting in a saved cell output. Rotate it in IAM, then clear the output before the file leaves this machine."
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"id": "aws_secret_access_key",
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"where": "output",
"law": "GDPR Art. 32",
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"id": "email_in_output",
"sev": "error",
"where": "output",
"law": "GDPR Art. 4(1) / Art. 33",
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"msg": "\"{hit}\" is an email address held in a saved output — personal data under GDPR Art. 4(1). A notebook shared with it is a disclosure you have 72 hours to report under Art. 33. Clear the output or mask the column."
},
{
"id": "iban_in_output",
"sev": "error",
"where": "output",
"law": "GDPR Art. 9 / Art. 33",
"pat": "\\b(?:AT|BE|CH|CZ|DE|DK|ES|FI|FR|GB|IE|IT|LU|NL|NO|PL|PT|SE)[0-9]{2}[ ]?(?:[0-9A-Z]{4}[ ]?){3,7}[0-9A-Z]{1,4}\\b",
"msg": "\"{hit}\" looks like an IBAN sitting in a saved output. Bank account numbers identify a person directly. Clear the output before the notebook is shared."
},
{
"id": "card_pan_in_output",
"sev": "error",
"where": "output",
"law": "PCI DSS 3.3 / GDPR Art. 33",
"pat": "\\b(?:4[0-9]{3}|5[1-5][0-9]{2})[ -]?[0-9]{4}[ -]?[0-9]{4}[ -]?[0-9]{4}\\b",
"msg": "\"{hit}\" has the shape of a full card number in a saved output. PCI DSS 3.3 allows at most the first six and last four digits to be displayed. Clear the output."
},
{
"id": "internal_hostname",
"sev": "warn",
"where": "output",
"law": "NIS2 Art. 21 (risk-management measures)",
"pat": "\\b[a-z0-9][a-z0-9-]{1,40}\\.(?:internal|intranet|corp|lan|local)\\b",
"msg": "\"{hit}\" is an internal hostname in a saved output. It maps your private network for whoever reads the notebook. Clear the output."
},
{
"id": "private_ip_in_output",
"sev": "warn",
"where": "output",
"law": "NIS2 Art. 21 (risk-management measures)",
"pat": "\\b(?:10\\.(?:[0-9]{1,3}\\.){2}[0-9]{1,3}|192\\.168\\.[0-9]{1,3}\\.[0-9]{1,3}|172\\.(?:1[6-9]|2[0-9]|3[01])\\.[0-9]{1,3}\\.[0-9]{1,3})\\b",
"msg": "\"{hit}\" is a private network address in a saved output. Together with a hostname it is a map of your internal estate. Clear the output."
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"where": "output",
"law": "GDPR Art. 4(1)",
"pat": "(?:\\/(?:home|Users)\\/[A-Za-z0-9._-]{2,}\\/)|(?:[Cc]:\\\\Users\\\\[A-Za-z0-9._-]{2,}\\\\)",
"msg": "\"{hit}\" is a traceback path carrying a named person's home directory. The employee name travels with the notebook. Clear the output."
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"id": "env_secret_dump",
"sev": "error",
"where": "output",
"law": "GDPR Art. 32",
"pat": "'[A-Z][A-Z0-9_]{2,}_(?:TOKEN|SECRET|PASSWORD|PASSWD|API_KEY|APIKEY|CREDENTIALS)':\\s*'[^']{4,}'",
"msg": "\"{hit}\" is an environment variable printed with its value — the classic os.environ dump. Rotate what it names and clear the output."
},
{
"id": "hardcoded_secret_in_source",
"sev": "warn",
"where": "source",
"law": "GDPR Art. 32",
"pat": "\\b(?:api_key|apikey|password|passwd|secret|token|access_key)\\s*=\\s*[\"'][^\"'\\s]{8,}[\"']",
"msg": "\"{hit}\" hard-codes a credential in the cell source, so clearing outputs will not remove it. Move it to an environment variable or a .env file that is git-ignored."
},
{
"id": "execution_order_regressed",
"sev": "warn",
"where": "struct",
"pat": "",
"law": "reproducibility",
"msg": "Cell execution counts run out of order, so the saved outputs were not produced by a top-to-bottom run. Whoever audits this notebook cannot reproduce the numbers it shows. Restart and run all before sharing."
},
{
"id": "widget_state_saved",
"sev": "warn",
"where": "struct",
"pat": "",
"law": "GDPR Art. 5(1)(c)",
"msg": "The notebook carries saved ipywidgets state in its metadata. Widget state keeps a copy of values the visible outputs no longer show. Clear widget state before sharing."
}
]
;</script>
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<p>Twenty-three findings rode along in the notebook a Berlin fintech data scientist attached to a risk ticket last Tuesday — 18 rules over one six-cell .ipynb, and every finding sat in a saved output rather than in the code. The code was fine. The code was never the problem.</p>
<p>A .ipynb is not source code. It is source code plus a saved copy of everything the code printed. Open one in a text editor and the JSON has two halves: the cells you wrote, and an outputs array holding the stdout, the rendered dataframe, the error value and every line of the traceback from the last time the cell ran. You stop looking at outputs about four seconds after you read the number you wanted. The file keeps them forever.</p>
<p>In the sample notebook shipped with Notebook Share Gate, the first cell dumps os.environ filtered to keys and tokens. The output holds a live sk- API key, an AWS access key id and a GitHub token, in full. The second cell builds a connection string and prints it to confirm the host — password included. The third calls df.head() on three real customers and saves their email addresses, their IBANs and their full card numbers into the file. The fifth fails, and the traceback names a home directory, an internal ML host and a private network address. That is 23 findings: 16 error, 7 warn, 15 distinct rules out of 18.</p>
<p>The cleared version of the same notebook, same analysis, outputs emptied and the PII columns masked, reports 0.</p>
<p>Six classes of leak live in that output blob. Live credentials. Customer identity. Payment data. Internal estate. Employee identity — a traceback path is a person's name. And unreproducible runs, where the execution counts jump from 7 back to 4, meaning the saved numbers were never produced by a top-to-bottom run and the auditor reading them cannot reproduce a single one.</p>
<p>The obvious objection is that a secret scanner already handles this. It does not, and for a structural reason. Scanners and pre-commit hooks read the code in a diff. The notebook keeps what the code printed in a separate JSON array, line-escaped, sometimes base64, and a rule written for a .py file walks straight past it. A chatbot cannot help either: it can only read the file you paste into it, which means pasting the secrets somewhere new.</p>
<p>The clock matters more than the embarrassment. GDPR Art. 33 gives you 72 hours from becoming aware of a personal-data breach to notify the supervisory authority. Art. 83(5) caps the administrative fine for that class of infringement at EUR 20 million or 4 % of total worldwide annual turnover, whichever is higher. A notebook with three customers' IBANs in it, sent to a colleague outside the team, is a disclosure. The awareness clock starts when someone notices — which is usually when someone else notices.</p>
<p>Notebook Share Gate reads the parts a linter does not open: stream text, text/plain and text/html results, evalue, every traceback line, the cell source, and metadata.widgets, where saved widget state keeps values the visible outputs no longer show. Eighteen rules, each reporting the rule name, the severity and the line in the file, so you can jump to it and clear it.</p>
<p>Free, with no key: audit the notebook you have open. That job finishes. The licensed layer moves to a different axis — scope and the record. It sweeps every .ipynb in the workspace in one pass and exports a dated audit record you keep on file, which is the artefact you want before an auditor asks which notebooks touched customer data.</p>
<p>The same engine.js runs in the browser on the free web page. Paste a notebook, get the same findings, nothing uploaded.</p></div><h2 style="font:600 21px/1.3 system-ui,sans-serif;margin:34px 0 6px;color:#1b1f24">Questions people ask</h2><details style="border-bottom:1px solid #e6e9ed;padding:10px 0"><summary style="cursor:pointer;font:600 15px/1.4 system-ui,sans-serif;color:#1b1f24">What does Notebook Share Gate actually check?</summary><p style="margin:8px 0 2px;font:400 14.5px/1.6 system-ui,sans-serif;color:#33404b">It reads the saved outputs inside a .ipynb file — stream text, text/plain and text/html results, error values and stored tracebacks — plus cell source and notebook metadata. Eighteen rules flag live credentials, customer emails, IBANs, full card numbers, internal hostnames, private addresses, out-of-order execution and saved widget state.</p></details><details style="border-bottom:1px solid #e6e9ed;padding:10px 0"><summary style="cursor:pointer;font:600 15px/1.4 system-ui,sans-serif;color:#1b1f24">Who is this for?</summary><p style="margin:8px 0 2px;font:400 14.5px/1.6 system-ui,sans-serif;color:#33404b">Data scientists and analytics engineers who hand notebooks to other people: attaching an .ipynb to a Jira ticket, pushing it to a shared repo, sending it to a risk or audit team. It is aimed at teams handling customer records in the EU and UK, where a shared output cell is a personal-data disclosure.</p></details><details style="border-bottom:1px solid #e6e9ed;padding:10px 0"><summary style="cursor:pointer;font:600 15px/1.4 system-ui,sans-serif;color:#1b1f24">Why will a free secret scanner not catch this?</summary><p style="margin:8px 0 2px;font:400 14.5px/1.6 system-ui,sans-serif;color:#33404b">Secret scanners and pre-commit hooks read the code in a diff. A notebook keeps what the code printed in a separate JSON output blob, base64 and escaped strings included, and a chatbot cannot read a file you have not pasted into it. This engine walks the notebook structure itself and reports the file line.</p></details><details style="border-bottom:1px solid #e6e9ed;padding:10px 0"><summary style="cursor:pointer;font:600 15px/1.4 system-ui,sans-serif;color:#1b1f24">What is free and what needs a key?</summary><p style="margin:8px 0 2px;font:400 14.5px/1.6 system-ui,sans-serif;color:#33404b">Free and keyless: audit the notebook you have open, with every finding named by rule, severity and line number. That job finishes on its own. The licensed layer changes scope and ownership — it sweeps every .ipynb in the workspace in one pass and exports a dated audit record you keep on file.</p></details><details style="border-bottom:1px solid #e6e9ed;padding:10px 0"><summary style="cursor:pointer;font:600 15px/1.4 system-ui,sans-serif;color:#1b1f24">What does getting this wrong cost?</summary><p style="margin:8px 0 2px;font:400 14.5px/1.6 system-ui,sans-serif;color:#33404b">GDPR Art. 33 gives you 72 hours from becoming aware of a personal-data breach to notify the supervisory authority, and Art. 83(5) caps the administrative fine for this class of infringement at EUR 20 million or 4 % of total worldwide annual turnover, whichever is higher. The extension is $29 once.</p></details><details style="border-bottom:1px solid #e6e9ed;padding:10px 0"><summary style="cursor:pointer;font:600 15px/1.4 system-ui,sans-serif;color:#1b1f24">Why not just ask ChatGPT or another AI chat?</summary><p style="margin:8px 0 2px;font:400 14.5px/1.6 system-ui,sans-serif;color:#33404b">A general AI chat answers from training data with a cutoff date, cannot read your repository and names no rule version. Notebook Share Gate checks the file you open against 18 rules, each naming its legal or official basis, from a rule set dated 2026-09-20, and points at the exact line. For a filing, an audit or a client you need that dated result on your own files.</p></details><script type="application/ld+json" data-yj="yj-faq-ld">{"@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{"@type": "Question", "name": "What does Notebook Share Gate actually check?", "acceptedAnswer": {"@type": "Answer", "text": "It reads the saved outputs inside a .ipynb file — stream text, text/plain and text/html results, error values and stored tracebacks — plus cell source and notebook metadata. Eighteen rules flag live credentials, customer emails, IBANs, full card numbers, internal hostnames, private addresses, out-of-order execution and saved widget state."}}, {"@type": "Question", "name": "Who is this for?", "acceptedAnswer": {"@type": "Answer", "text": "Data scientists and analytics engineers who hand notebooks to other people: attaching an .ipynb to a Jira ticket, pushing it to a shared repo, sending it to a risk or audit team. 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Answers land on this page and, if you left an email, in your inbox.";f.question.value="";}).catch(function(){m.style.color="#a8551f";m.textContent="Could not send. Please try again in a minute.";});return false;}</script></div></section><section class="yj-related" style="max-width:920px;margin:56px auto 40px;padding:0 20px"><h2 style="font:600 21px/1.3 system-ui,sans-serif;margin:0 0 6px;color:#1b1f24">Same job, next tool</h2><p style="font:400 14.5px/1.5 system-ui,sans-serif;margin:0 0 20px;color:#5b6570">Free in the browser. 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