Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CC29831A0006B3F52D782C5B3A2A32BA2E7938AE756091552FDC39D4FF3D94CE23516 |
|
CONTENT
ssdeep
|
384:0Sby5NRPEI1JKxfMC8X+2i7T49+9HlRpIh8lWIYsOy2+y9BH4ciUIe:0Sby5NRPbpk4uFXU7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d265fc12cd1c91e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9ccccce0c8cc3c00 |
|
VISUAL
wHash
|
00f66a00206effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca554d4d4d715d96,1080800458988000,94ccccc0e8c9cc3c |
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)