Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199F10EF1D040ED3B435385D9A7BA6B0B77A1C349CF07064593F883AA9BDACA0CE1559A |
|
CONTENT
ssdeep
|
96:TkAnbzD71tDlt8v67MIdlSS87xtFLwvFJexXYHFwQeZXbX/1yt36DBAL2J:QAnbzD715lt8iIy8xPRaCftXNyhsBYw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6e64319991947c7 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
0c25242438441000 |
|
VISUAL
wHash
|
ffc7e3d7ff000000 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
000c252504a63044,0000000000000000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)