Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177527233F100CD2A4D9B558CF6C49A8D525EC305FB3248CAA264A1BF7BC4DF129A979D |
|
CONTENT
ssdeep
|
192:jRreYcTcochsKqCv79iG7gDx2McnthWeNWbo1jFfMmUU8VCoI:fcTcochsKqCv79imX1jFfMmUFCoI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3724c4c72725ccc |
|
VISUAL
aHash
|
0000ffe7ffffffff |
|
VISUAL
dHash
|
20cc084d08000000 |
|
VISUAL
wHash
|
00000707243c3c3c |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
0c184d0c00080000,002020200090e468 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)