Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C432AAA3D52B5165B6351D2B0AF264BB33A241FB40C54F07164CEADB4F84A9503BFCE |
|
CONTENT
ssdeep
|
768:2yWu/PNwWyuv5T9H+G/11QsDZ/uXX8UW9li6uHpYLYe/npSxHyOzxHRBaW/Sy3sj:ASshyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c13ac594bbc5926d |
|
VISUAL
aHash
|
7e000000007e7a7a |
|
VISUAL
dHash
|
d8c0c3c0c8d4c2c2 |
|
VISUAL
wHash
|
ff206060007e7e7f |
|
VISUAL
colorHash
|
39000e00000 |
|
VISUAL
cropResistant
|
0000000000000000,a280c1999dd4c0a2,e536a3a32383a1a1,d8c0c0c0ccd4c2e2,6f4d4d4a4aca8b8f |
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 232 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)