Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDF140F1E090ED370B5382CAA7B67B6B77B2C345CB420A4452F4436E1BCBDA1CB11699 |
|
CONTENT
ssdeep
|
96:Tk+CnbzDJ1tkzYt8v67MVduItwvFNBebRXpHFSWefJXBJIX/Quh+GAT431:Q+CnbzDJ1UYt8iI3DbjYP2XXhM8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc886f837c887e83 |
|
VISUAL
aHash
|
ffffffdfffffff00 |
|
VISUAL
dHash
|
221030b03000c020 |
|
VISUAL
wHash
|
98cc0c0cf0f0f000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
211030b030000000,000000c020202020 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)