Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CD1BCA74058082EB53342EDE12AB3A620A6B31EE796160CD2EC937743DDD77F967C01 |
|
CONTENT
ssdeep
|
96:Tc61dKr947+OiRUmRaXnDK3yA0S+p3h+hvb5sk:461SAGrA3c+p3h+hWk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9c73338c63918c7 |
|
VISUAL
aHash
|
ffffcffbff8f8fff |
|
VISUAL
dHash
|
2050d056449a9a44 |
|
VISUAL
wHash
|
f0bc8c90bd8981df |
|
VISUAL
colorHash
|
07000030200 |
|
VISUAL
cropResistant
|
2050d056449a9a44,3a5c6c110d518101 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)