Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CEE146D1C098DD37031246D5FBF56B5FB692C359CF06098453F842AB9BCECA0CB26A99 |
|
CONTENT
ssdeep
|
96:TkAsF7moh4lzH0XfeG9Edt7XFzoswvFTeJX3HFneRX4z/wHQt7XM1QgR:Qd7moh4lzH0X19EdnfNIuzvC1Qu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc9e6d7193116c46 |
|
VISUAL
aHash
|
00ffffffffc3c3c3 |
|
VISUAL
dHash
|
332b2b200f171717 |
|
VISUAL
wHash
|
0081dbffff818181 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2b2b2b000f171717,0000020414040000,0000000000000000,0000000000000000,f4d46d2800000000 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)