Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11FA1B77361050F1F848382E9FFE6A716D05EC249C34EA64D73CC83AE39C6CC6C9222A5 |
|
CONTENT
ssdeep
|
48:TFmQWH513NP13t1PwAdHkvHvQ+3999VO6AMc6pGK+tfe3iUd9ev4M+YvKSGl+/op:TsjZb32IEvHvR9M6AMcnifevzCabM9WO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc993366cc993366 |
|
VISUAL
aHash
|
0000001818000000 |
|
VISUAL
dHash
|
100830b2b2300810 |
|
VISUAL
wHash
|
0000303818000000 |
|
VISUAL
colorHash
|
38000010480 |
|
VISUAL
cropResistant
|
a84d4d2a8c3333b2,100830b2b2300810 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)