Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4326F33B6009C2A8DAB15CCF2C49649425DD345FB3188CAB26481FF7BC4DF169997AD |
|
CONTENT
ssdeep
|
192:x1AGIO0c8cCk+9p9m1G0ji1vy4nwxnMcnthWeNWbZfMmUU8VCoq3:EGD0c8cCk+9p9dLJ7fMmUFCoq3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b99896666668cdc |
|
VISUAL
aHash
|
243c3c0000000001 |
|
VISUAL
dHash
|
8c32324d0c000001 |
|
VISUAL
wHash
|
64fcfce40c0c0f0f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
8c32324d0c000001 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)