Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112020EE1C054ED3A476286D9ABF56F0B77D1C349CF06094053F883AB9BCACA0DE16599 |
|
CONTENT
ssdeep
|
192:QBgzYhhTU/l8iIlYduYL34UKbYslhiNKhlc:QIGTUd1oY0YL3fyYSiKh2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4649a9a9387c6ce |
|
VISUAL
aHash
|
ffc3c3c3fbffffe7 |
|
VISUAL
dHash
|
309686862230080e |
|
VISUAL
wHash
|
00c3c3c3c3cfcfc3 |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
309686862230080e,60139bc34b5b1b4b |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)