Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E519565C108DD2BD270C0D0E571A32C9AC9824993130B8893EC473C27EB9AADC5FEC4 |
|
CONTENT
ssdeep
|
48:e0fEtoLQ8mHDQeMt5MSjWAUf1sHcKtub8CXSL5fh6qLv:eRit5Mvq8KtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a633dd8c238c7933 |
|
VISUAL
aHash
|
1f3f276767fefefc |
|
VISUAL
dHash
|
a4504c8888304080 |
|
VISUAL
wHash
|
0f1f063e247c78f8 |
|
VISUAL
colorHash
|
07001048041 |
|
VISUAL
cropResistant
|
a4504c8888304080 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 42 techniques to evade detection by security scanners and make reverse engineering more difficult.