Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1028472670259291A0077C3E434695B7AD1AADD4FFAE70E008EDCCBF726F9CA0741B259 |
|
CONTENT
ssdeep
|
1536:JuZC7NZbw9tMbXlOJi55R+OvJ0d5aO/to2sH8ArXvUd0gAK6FyM0ah5I8SzGVuNr:VAMwp09kZY1M5dGIp8e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96cc6d269699c399 |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
6407ccdccccc33cc |
|
VISUAL
wHash
|
80c0fefefefe0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
6407ccdccccc33cc,85afa321a5938382,4555415979590145,0145714d4d314141 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.