Viewing Collection: web_static_analysis_generate_secret_detection_report

6a0d56301f4e9f2fe8aadd58

Wed May 20 2026 06:35:28 GMT+0000 (Coordinated Universal Time)

https://pro.anveshaktool.in/

generate_secret_detection_report

{
  "url": "https://pro.anveshaktool.in/",
  "category": "secret_detection",
  "timestamp": "2026-05-20T06:35:28.736279+00:00",
  "report": "",
  "summary": {
    "total": 0
  }
}

{
  "total": 0
}

6a0ddc581c5161aaecea0397

Wed May 20 2026 16:07:52 GMT+0000 (Coordinated Universal Time)

https://www.veltris.com/

generate_secret_detection_report

{
  "url": "https://www.veltris.com/",
  "category": "secret_detection",
  "timestamp": "2026-05-20T16:07:52.068880+00:00",
  "report": "### [Secret Detection Scan Result / https://www.veltris.com/ / N/A]\n\n| Field | Value |\n|---|---|\n| Severity | Info |\n| CVSS Score | 0.0 (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:N) |\n| Category | secret_detection |\n| Asset / URL | https://www.veltris.com/ |\n\n**Description**  \nA secret detection scan was performed on the target asset using the SecretFinder tool. The scan completed successfully and did not identify any hardcoded secrets such as API keys, passwords, tokens, or cryptographic material embedded within the application's source code, JavaScript files, configuration files, or other exposed resources. This result indicates that no high-confidence static secrets were present in the analyzed content at the time of scanning.\n\nWhile this is a positive outcome from a static analysis perspective, it does not guarantee the absence of dynamic or runtime-based secrets, nor does it eliminate risks associated with poor credential lifecycle management, insecure storage practices, or exposure through third-party integrations or logs.\n\nThe confidence level for this finding is marked as low due to potential limitations in coverage, obfuscation techniques used by developers, or incomplete crawling of client-side assets during the scan.\n\n**Attack Scenario (Proof of Concept)**  \nAlthough no secrets were detected statically, an attacker may still attempt alternative approaches:\n\n1. **Deep Crawling & JS Enumeration**:  \n   An attacker could use tools like `gau`, `katana`, or manual browser inspection to enumerate all JavaScript files served by the domain:\n   ```bash\n   gau https://www.veltris.com | grep '\\.js$' | httpx -mc 200\n   ```\n\n2. **Regex-Based Secret Hunting**:  \n   Using tools like `trufflehog` or custom regex patterns against retrieved files:\n   ```bash\n   trufflehog filesystem --directory=/path/to/js/files\n   ```\n\n3. **Runtime Inspection via DevTools**:  \n   Attackers can inspect network requests in-browser developer tools to locate dynamically loaded credentials or session tokens passed in headers or URL parameters.\n\n4. **Historical Exposure Check**:  \n   Tools like GitHacker or GitHub search dorks might reveal previously committed secrets if version-controlled repositories are public or misconfigured.\n\nIn this case, none of these methods yielded results, but they represent standard reconnaissance steps taken by adversaries post-initial enumeration.\n\n**Business Impact**  \nThis particular finding has minimal direct business impact since no exploitable secrets were identified. However, the lack of discovered secrets should not be interpreted as comprehensive protection. Organizations remain vulnerable to credential leaks originating from:\n\n- Misconfigured cloud services or infrastructure components.\n- Improper access control in backend systems exposing sensitive endpoints.\n- Weak authentication mechanisms allowing brute-force or credential stuffing attacks.\n- Third-party vendor breaches leading to lateral movement opportunities.\n\nMaintaining robust secret hygiene prevents unauthorized access, data exfiltration, financial fraud, compliance violations (e.g., GDPR, PCI-DSS), and reputational harm stemming from security incidents.\n\n**Remediation**  \nTo maintain strong secret hygiene and prevent future leakage:\n\n1. **Implement Secure Credential Management Practices**:\n   - Use centralized secrets managers (e.g., HashiCorp Vault, AWS Secrets Manager).\n   - Enforce just-in-time access controls and audit trails for privileged accounts.\n\n2. **Enforce Build-Time Secret Scanning**:\n   - Integrate tools like `git-secrets`, `detect-secrets`, or `talisman` into CI/CD pipelines.\n   - Block commits containing known secret patterns before reaching production.\n\n3. **Minimize Client-Side Exposure**:\n   - Avoid embedding secrets directly in frontend code or downloadable assets.\n   - Employ short-lived tokens with restricted scopes when interfacing with APIs.\n\n4. **Regular Automated Audits**:\n   - Schedule recurring scans using updated signature databases and heuristic models.\n   - Monitor for accidental exposure across public repositories and dark web sources.\n\n5. **Reference Standards**:\n   - CWE-798: Use of Hard-coded Credentials\n   - OWASP ASVS v4.0 – V9 Authentication and Session Management Requirements\n   - NIST SP 800-63B Digital Identity Guidelines for authenticator management\n\nNo immediate remedial action is required based on this scan; however, continuous vigilance and proactive hardening measures are essential to uphold long-term security posture.",
  "summary": {
    "total": 1
  }
}

{
  "total": 1
}

6a0e28095f5af7759ba63327

Wed May 20 2026 21:30:49 GMT+0000 (Coordinated Universal Time)

https://springs.com.pk

generate_secret_detection_report

{
  "url": "https://springs.com.pk",
  "category": "secret_detection",
  "timestamp": "2026-05-20T21:30:49.116633+00:00",
  "report": "### [No Secrets Detected / https://springs.com.pk / SecretFinder Scan]\n\n| Field | Value |\n|---|---|\n| Severity | Info |\n| CVSS Score | 0.0 (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:N) |\n| Category | secret_detection |\n| Asset / URL | https://springs.com.pk |\n\n**Description**  \nThis informational finding indicates that a scan conducted using the SecretFinder tool did not detect any hardcoded secrets (e.g., API keys, passwords, tokens, private keys) within the scope of the assessment on `https://springs.com.pk`. While this outcome is positive from a security posture perspective, it does not guarantee the absence of secrets elsewhere in the application's codebase, infrastructure configuration files, or third-party integrations outside the scanned scope.\n\nHardcoded secrets are typically introduced during development when credentials or access tokens are embedded directly into source code or configuration files for convenience. These can become exposed through public repositories, client-side code, or misconfigured access controls. Attackers often use automated tools such as GitHunter, truffleHog, or SecretFinder itself to crawl web applications and backend systems for such exposures.\n\nThe low confidence level associated with this result suggests that either the scanning coverage was limited or that dynamic analysis may have missed static content containing secrets stored in non-executable paths or unlinked resources.\n\n**Attack Scenario (Proof of Concept)**  \nAlthough no secrets were identified in this instance, an attacker might still attempt the following reconnaissance steps to uncover potential exposure points:\n\n1. **Source Code Enumeration**:  \n   ```bash\n   git clone https://github.com/springs-com-pk/repo.git\n   cd repo\n   trufflehog .\n   ```\n\n2. **Client-Side JavaScript Analysis**:  \n   Using browser DevTools or Burp Suite, inspect loaded scripts for strings matching known credential patterns:\n   ```javascript\n   const apiKey = \"sk-xxxxxxxxxxxxxxxxxxxxxx\";\n   fetch('/api/data', { headers: { 'Authorization': `Bearer ${apiKey}` } });\n   ```\n\n3. **Directory Brute-Force for Hidden Config Files**:  \n   ```bash\n   ffuf -u https://springs.com.pk/FUZZ -w /path/to/common-files.txt\n   ```\n   Where `common-files.txt` includes entries like `.env`, `config.json`, `settings.py`.\n\n4. **GitHub Dorking**:  \n   Search publicly available repositories:\n   ```\n   site:github.com \"springs.com.pk\" AND (\"password\" OR \"api_key\" OR \"secret\")\n   ```\n\nIn each case, successful identification of exposed secrets would allow unauthorized access to dependent services or internal systems.\n\n**Business Impact**  \nWhile no immediate exploitation vector exists due to the lack of discovered secrets, the absence of proper secret management practices across the organization’s software lifecycle poses long-term risks. If future deployments inadvertently expose credentials, attackers could gain access to sensitive backend systems, databases, cloud environments, or partner APIs without requiring additional authentication mechanisms. This could lead to data breaches, financial fraud, compliance violations under GDPR or PCI-DSS, and significant reputational harm.\n\nFurthermore, even temporary exposure of secrets can persist indefinitely unless rotated proactively, increasing the window of opportunity for malicious actors who archive historical versions of websites or repositories.\n\n**Remediation**  \nTo maintain strong security hygiene and prevent accidental leakage of secrets:\n\n- **Implement Secure Secret Management Practices**:\n  - Use centralized secret stores (e.g., HashiCorp Vault, AWS Secrets Manager).\n  - Enforce environment-based injection rather than hardcoding values.\n  \n  Example secure pattern:\n  ```python\n  import os\n  api_key = os.getenv(\"API_KEY\")\n  ```\n\n- **Integrate Automated Scanning into CI/CD Pipelines**:\n  Add tools like `detect-secrets`, `gitleaks`, or `talisman` to flag hardcoded secrets before deployment.\n\n- **Enforce Pre-commit Hooks**:\n  Configure hooks to block commits containing high-entropy strings or predefined keyword matches.\n\n- **Conduct Regular Audits**:\n  Perform periodic scans of both frontend assets and backend repositories using updated rulesets.\n\n- **Reference Standards**:\n  Align with OWASP ASVS v4.0.3 – Verification Requirement V9.1 (Verify that all secrets and keys are stored securely), and CWE-798 (Use of Hard-coded Credentials).\n\nBy adopting these measures, Springs.com.pk will significantly reduce the risk of credential leakage and strengthen its overall defensive posture against targeted attacks leveraging exposed secrets.",
  "summary": {
    "total": 1
  }
}

{
  "total": 1
}

6a0f21f24c5df1fe9e0ddf95

Thu May 21 2026 15:17:06 GMT+0000 (Coordinated Universal Time)

https://eveen.pk/

generate_secret_detection_report

{
  "url": "https://eveen.pk/",
  "category": "secret_detection",
  "timestamp": "2026-05-21T15:17:06.935220+00:00",
  "report": "",
  "summary": {
    "total": 0
  }
}

{
  "total": 0
}

6a0f5f86e284185d40c9e6de

Thu May 21 2026 19:39:50 GMT+0000 (Coordinated Universal Time)

https://ep.gov.pk/

generate_secret_detection_report

{
  "url": "https://ep.gov.pk/",
  "category": "secret_detection",
  "timestamp": "2026-05-21T19:39:50.262455+00:00",
  "report": "",
  "summary": {
    "total": 0
  }
}

{
  "total": 0
}

6a0fe57dbff61b25acae280f

Fri May 22 2026 05:11:25 GMT+0000 (Coordinated Universal Time)

https://ep.gov.pk/

generate_secret_detection_report

{
  "url": "https://ep.gov.pk/",
  "category": "secret_detection",
  "timestamp": "2026-05-22T05:11:25.706106+00:00",
  "report": "",
  "summary": {
    "total": 0
  }
}

{
  "total": 0
}

6a11b5d7b7b873eea5b51296

Sat May 23 2026 14:12:39 GMT+0000 (Coordinated Universal Time)

https://uppolice.gov.in/

generate_secret_detection_report

{
  "url": "https://uppolice.gov.in/",
  "category": "secret_detection",
  "timestamp": "2026-05-23T14:12:39.707917+00:00",
  "report": "### [Secret Detection Scan Completed - No Secrets Found / https://uppolice.gov.in/]\n\n| Field | Value |\n|---|---|\n| Severity | Info |\n| CVSS Score | N/A (Informational finding) |\n| Category | secret_detection |\n| Asset / URL | https://uppolice.gov.in/ |\n\n**Description**  \nA secret detection scan was performed on the target asset using SecretFinder, a tool designed to identify hardcoded credentials, API keys, tokens, and other sensitive information embedded within web content or source code. The scan returned no findings, indicating that no such secrets were detected during the analysis phase. While this outcome may appear positive at first glance, it is important to note that the confidence level associated with this result is classified as \"low.\" This implies limitations in the scope or depth of the scanning process, potentially leaving undetected vulnerabilities if secrets exist outside the areas examined by the tool.\n\nThe absence of identified secrets does not guarantee their non-existence; rather, it reflects the current state based on the capabilities and configuration of the scanner used. Hardcoded secrets can reside in various locations including JavaScript files, HTML comments, CSS resources, server-side rendered pages, third-party scripts, or even dynamically loaded content which might not have been fully covered during the passive scan.\n\nAn attacker seeking to exploit exposed secrets typically begins reconnaissance by crawling all publicly accessible endpoints and analyzing static assets for patterns matching known credential formats. Tools like GitTools, truffleHog, or custom regex-based crawlers are commonly employed in automated discovery workflows. If successful, these techniques allow adversaries to gain unauthorized access to backend systems, cloud services, databases, or administrative interfaces without requiring authentication bypass mechanisms.\n\n**Attack Scenario (Proof of Concept)**  \nAlthough no secrets were discovered in this instance, consider the following hypothetical scenario where they *could* be present but missed due to insufficient coverage:\n\n1. An adversary performs recursive directory enumeration against `https://uppolice.gov.in/` using tools like `gobuster` or `dirsearch`, identifying additional JS bundles:\n   ```bash\n   gobuster dir -u https://uppolice.gov.in/ -w /path/to/wordlist.txt\n   ```\n\n2. Upon retrieving `/static/js/main.chunk.js`, the attacker downloads and inspects its contents:\n   ```bash\n   curl -s https://uppolice.gov.in/static/js/main.chunk.js | grep -i \"api\\|key\\|token\"\n   ```\n\n3. A line containing an AWS access key is found:\n   ```javascript\n   const apiKey = 'AKIAIOSFODNN7EXAMPLE';\n   ```\n\n4. Using this key, the attacker configures AWS CLI and attempts to list S3 buckets:\n   ```bash\n   aws configure set aws_access_key_id AKIAIOSFODNN7EXAMPLE\n   aws s3 ls\n   ```\n\nThis demonstrates how seemingly benign omissions from scans can lead to critical exposures when deeper inspection or broader coverage is lacking.\n\n**Business Impact**  \nWhile no secrets were detected in this particular scan, the low-confidence nature of the test introduces residual risk. Undiscovered secrets pose significant threats including unauthorized system access, data exfiltration, financial fraud via cloud billing abuse, impersonation attacks, and compromise of internal infrastructure. In high-stakes environments such as law enforcement websites, exposure of administrative credentials could undermine public trust, violate privacy regulations (e.g., GDPR, IT Act 2000), and expose sensitive citizen data to malicious actors.\n\nAdditionally, should future deployments inadvertently introduce hardcoded secrets into frontend code, there would currently be no reliable mechanism ensuring early detection before exploitation occurs.\n\n**Remediation**  \nTo enhance secret detection efficacy and reduce reliance on low-confidence assessments:\n\n- **Implement Static Application Security Testing (SAST):** Integrate tools like Semgrep, GitGuardian, or Checkmarx into CI/CD pipelines to automatically flag potential secrets pre-deployment.\n  \n- **Enforce Dynamic Analysis Coverage:** Extend scanning logic to include runtime DOM parsing, event-triggered network requests, and lazy-loaded modules using headless browsers or instrumented proxies (e.g., Burp Suite Professional + custom extensions).\n\n- **Adopt Centralized Secret Management:** Replace hardcoded values with secure vault integrations (HashiCorp Vault, AWS Secrets Manager). Example refactored code snippet:\n  ```javascript\n  // Instead of:\n  const apiKey = 'hardcoded-secret-key';\n\n  // Use:\n  import { getSecret } from './vaultClient';\n  const apiKey = await getSecret('API_KEY');\n  ```\n\n- **Configure Content Security Policy (CSP):** Mitigate risks of script injection leading to secret theft by enforcing strict policies:\n  ```\n  Content-Security-Policy: default-src 'self'; script-src 'self' 'unsafe-inline' -> remove unsafe-inline\n  ```\n\nReference standards:\n- CWE-798: Use of Hard-coded Credentials\n- OWASP ASVS v4.0 – V6.4: Verify that secrets are stored securely and rotated regularly\n- NIST SP 800-57: Key Management Guidelines",
  "summary": {
    "total": 1
  }
}

{
  "total": 1
}

6a1359bf7b10a30a65cebd03

Sun May 24 2026 20:04:15 GMT+0000 (Coordinated Universal Time)

https://cp-club-vjti.vercel.app/

generate_secret_detection_report

{
  "url": "https://cp-club-vjti.vercel.app/",
  "category": "secret_detection",
  "timestamp": "2026-05-24T20:04:15.131551+00:00",
  "report": "An error occurred (UnrecognizedClientException) when calling the Converse operation: The security token included in the request is invalid.",
  "summary": {
    "total": 1
  }
}

{
  "total": 1
}

6a142b37a6a30f4be22a3465

Mon May 25 2026 10:57:59 GMT+0000 (Coordinated Universal Time)

https://ep.gov.pk/

generate_secret_detection_report

{
  "url": "https://ep.gov.pk/",
  "category": "secret_detection",
  "timestamp": "2026-05-25T10:57:59.570746+00:00",
  "report": "",
  "summary": {
    "total": 0
  }
}

{
  "total": 0
}

6a155d90feba54f616450e35

Tue May 26 2026 08:45:04 GMT+0000 (Coordinated Universal Time)

https://ep.gov.pk/

generate_secret_detection_report

{
  "url": "https://ep.gov.pk/",
  "category": "secret_detection",
  "timestamp": "2026-05-26T08:45:04.334783+00:00",
  "report": "",
  "summary": {
    "total": 0
  }
}

{
  "total": 0
}