Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE32637390C59E331297D1D1EB727B0EA2D38355C6626A0A93F583CF9B99E9CCE03045 |
|
CONTENT
ssdeep
|
96:tsiuia/JsTj4iSuV1i2WYXgoV37qbVeE7koKKs6lvhs8TLiekoeW03Xag9HrY:awjsoVkxkoK/4xLiekoeW03Kg0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4ec4b1bb23646ec |
|
VISUAL
aHash
|
fffff7d7ff000000 |
|
VISUAL
dHash
|
081227051662f0d4 |
|
VISUAL
wHash
|
fffbd3c7f7000000 |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
0e20022725971663,0c32b20022b69409,920a929296968292,4d64a46d2992994d,103032c4d4d4d4d4 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)