Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1D28471B1102E3B11A7C3CD7711B35AA2E3824DDA46081563FD836D4FD7EA0EE2392A |
|
CONTENT
ssdeep
|
768:7Szy5NFh0JYW5o4xEe9zSjWVeqj7sOy2+y9BH4c1Ie:L0JPX92jWgqj7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361f53a921eb9c1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c3c3e8cdcbc500 |
|
VISUAL
wHash
|
60fb70340001ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
c400a00158d88000,c8c3c3c2cdcdabc4 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)