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low·Information Scans·Updated Jan 28, 2026

ANZ Phishing Detection Scanner

This scanner detects the use of ANZ Phishing in digital assets. Phishing sites often masquerade as legitimate websites to deceive users and obtain sensitive information fraudulently. This detection helps identify unauthorized use of ANZ branding to protect users from fraudulent activities.

Est. Time~10 seconds
Scan TypeSingle Scan
Targetsurl
CostFree
2.6k
Times Used
continuous scan runs
3.4k
Continuously Checked
assets under CS
0
Vulnerabilities Found
confirmed findings
References
Detail

ANZ, a prominent banking and financial services provider, is commonly used by individuals and businesses for account management, loans, and other financial transactions. It serves millions across the globe, providing critical financial services both online and offline. The company's extensive user base makes it a target for phishing scams, which can compromise sensitive personal and financial data. This software aims to secure transactions and communication over digital platforms, ensuring a safer experience for its users. By maintaining robust digital asset protection, ANZ continues to build trust with its customers, offering them peace of mind in their online interactions.

Phishing involves creating fraudulent websites that mimic legitimate ones to deceive users into divulging personal information. ANZ phishing detection identifies fake sites pretending to be affiliated with ANZ. Websites that replicate ANZ's official site but have deceptive URLs are flagged. This detection protects ANZ's customers from fraud and ensures their personal data's integrity. Phishing detection is crucial for safeguarding against identity theft and financial fraud.

The detection examines the website's title, checks HTTP status codes, and ensures the URL doesn't contain legitimate ANZ domains. If these conditions are met, but the domain is not official, it's flagged as a phishing attempt. The detection uses specific keywords found in legitimate ANZ websites to verify authenticity. This requires a GET request and matches conditions to identify genuine versus fake sites. By analyzing redirects and ensuring they do not lead to anz.com, it filters out legitimate from fake ones.

If exploited, phishing sites can lead to significant financial losses for individuals and institutions. Users could unknowingly provide confidential information such as usernames, passwords, and credit card details. This data can then be used maliciously for unauthorized transactions, fraud, and identity theft. Organizations may also face reputational damage, loss of client trust, and potential legal ramifications. Regular detection and prevention are essential to mitigate these risks and protect sensitive information.

REFERENCES

Solution Advice
  • Educate users about recognizing and avoiding phishing websites.
  • Implement two-factor authentication to add an extra layer of security.
  • Monitor web assets and quickly react to newly discovered phishing sites.
  • Stay informed about the latest phishing tactics and update security protocols accordingly.
  • Consider employing web filters to block access to known phishing sites.

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ANZ Phishing Detection Scanner | S4E