Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188A286616D48DC2252DF5AC99A73656460B94306C61218D8FEBAC7FA93AFCBDC733120 |
|
CONTENT
ssdeep
|
192:36ii5qiEh7i9sHjCd4OcO0iVZjqTSQ4fXS+S0g9uD6srCEQdExNUhSPzx3:QsJO5xVZjqTSN/LSSroUa87t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebd7e4d11c423b88 |
|
VISUAL
aHash
|
feffad0018c341c3 |
|
VISUAL
dHash
|
4a4a6949321a8b27 |
|
VISUAL
wHash
|
f6f7bf8000e36381 |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
4a4a6949321a8b27,f355d4d4f4963131,d1505290b0b2c94b,6969a8a868b0514d,d6949ede9614dcd6,7260246464747673,15497a5e6e246448,9390f2a136919473 |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.