Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16AC3B5B6411C417EF2434BFCE0912E6A724BFF6ED51070C4E3D99B6A16F5EB1980A389 |
|
CONTENT
ssdeep
|
1536:CbYbutB3LuEl3C7oPPcDh9bphgfullaQQ+i6hemjeZ7mek/efWeyQel7ewPebceK:CbdPt+vOpYzdxYf/o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
85e462334d5c1f37 |
|
VISUAL
aHash
|
62e7ff1818080034 |
|
VISUAL
dHash
|
c686a6b37aeaf4c4 |
|
VISUAL
wHash
|
67f7ff1818080c7c |
|
VISUAL
colorHash
|
31400010002 |
|
VISUAL
cropResistant
|
c686a6b37aeaf4c4 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.