Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157020DE0D154ED3A436286D9FBF56B4B76D1C349CF06094053F883AB9BCAC60DF22599 |
|
CONTENT
ssdeep
|
192:QDgzYhhTU/l8iIlYdVVMb/BpLdlhSpKulc:Q6GTUd1oYvVA/BVPuKu2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4649a9a9387c6ce |
|
VISUAL
aHash
|
ffc3c3c3fbffffe7 |
|
VISUAL
dHash
|
309686862230280e |
|
VISUAL
wHash
|
00c3c3c3c3cfcfc3 |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
309686862230280e,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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)