Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DBA2A6616D48DC2252DF5AC99A73656460F94306C61218D8FEB9C7FA93AFCBDC733120 |
|
CONTENT
ssdeep
|
192:R7GIIYyuqiEh7i9sHjCd4OcO0iVZjqTSQ4f6uYhpQ1k9ksrCEQdExNUhSPzxrhr4:0usJO5xVZjqTSNS5hrroUa8719s |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3d7e4d11c423f88 |
|
VISUAL
aHash
|
feffad0018c341c3 |
|
VISUAL
dHash
|
4a4a6949b01a8b27 |
|
VISUAL
wHash
|
b6f7ff8000e36381 |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
4a4a6949b01a8b27,f355d4d4f4963131,c1505290b0b2c949,6969a8a868b0510d,d6949ede9614dcd6,7260246464747673,15495a5e6e244448,9390f2a136919473 |
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 87 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)