Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19FE2B735B1107A3B02D7C3C9B3A2E32AB3E78349DA46155591FD836D0BA3D90CE7356A |
|
CONTENT
ssdeep
|
768:AS5y5NPOSfwtciR6mLTqF3AWrZwL7sOy2+y9BH4c1Ie:MNioAVL7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ec12cd6d92e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
1d094b4be90c3300 |
|
VISUAL
wHash
|
80e5e301040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffcfcffffffe,0080800078908000,11094b0b4bed5c30 |
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)