Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12CF130F1E090EC364B5381CABBB67B6B77A1C244CF020A5453F4936E5BCAD61CB1159A |
|
CONTENT
ssdeep
|
96:TkzGnbzDJ1tkz1Nt8v67Mcd7nwvFVeRXaHFvxeKkXSX/Eq2GAT431:QzGnbzDJ1U1Nt8iIGRU5cKDXcqE8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b89067837c986fc3 |
|
VISUAL
aHash
|
ffffffdfffffff00 |
|
VISUAL
dHash
|
290c30b400200020 |
|
VISUAL
wHash
|
80c000003f3fff00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
291c20b400000020,2020202020202020 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.