Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14EC29733A1002A3B539783DAB2A1F71F61F74309DA86065592F9C3ED0BD7E54DE6381A |
|
CONTENT
ssdeep
|
384:lndQepx1/VIR+iqhsEnbZx0dbyrHsTXNVSoCOiJTDErBIYsOy2+y9BH4cUUIe:fQepx1n7QDT36E97sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247dd329139b989 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
88c4e0c8cd8d8300 |
|
VISUAL
wHash
|
0c7c30206445ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,98c4e0c8c8cd8d8b |
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)