Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12CB30C2CE390783A604787D1EA74B70AA2C9D60BE657A9409EF583690FD3DF4CC9913C |
|
CONTENT
ssdeep
|
768:XTMb2OvELTPdrjgeCQJQdle4tNxuUjcmOLtVL:XtINXJEacxl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8d303b87ca3d638 |
|
VISUAL
aHash
|
ffffffffdfdf0100 |
|
VISUAL
dHash
|
2b2310073732cfc5 |
|
VISUAL
wHash
|
c9ffffc383970000 |
|
VISUAL
colorHash
|
0e200081000 |
|
VISUAL
cropResistant
|
2b2b000337372bd7,2521246444c4e4e3,0bdffff3d5e5ccc2 |
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)