Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E13EA3108D56F2F519393C4D3209A0BE3D6894CE2768659F5EAC71B4BC4ED5C82BF98 |
|
CONTENT
ssdeep
|
768:yJN7fvieNyOkk1KQfNVr/ETDNlAO/g321hiG9inH896hTgjGgyZj:yJN73izO31KQfN5/EXNKO/11LGTgjGgi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebcac9caca96 |
|
VISUAL
aHash
|
fd0606060606fffb |
|
VISUAL
dHash
|
71ccccccecfc3b33 |
|
VISUAL
wHash
|
fd0606060606fffb |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
0001896161890152,96d6e8b094710f8e,8038332c33133333,ccccccccccececec,5d8ba6decec6c647 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)