Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AA33D743505B53A5AB383A770EF2603727D521BD40E8C60B294E9AAB7E9C46E037FD4 |
|
CONTENT
ssdeep
|
1536:cKPYuxlUuRNka2wblHbJLwLIz9GguGOjjRnK:kkrX2wd9W/guGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3133ce993966b2 |
|
VISUAL
aHash
|
080000183c300000 |
|
VISUAL
dHash
|
922000b270200020 |
|
VISUAL
wHash
|
5a603c187c7c7070 |
|
VISUAL
colorHash
|
38001000180 |
|
VISUAL
cropResistant
|
922000b270200020 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.