Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C4385F290502B7F51E343B8A765A67BD2A442C4CB13CA4A63F883976BC7EF1CD94250 |
|
CONTENT
ssdeep
|
768:RJnrbfdBL6kx9Wc0HoFVNBUFu+jiBPV8WoAdWHvngt3lrm:bnrfL6ux0IFVNBUFu+jiBNZm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666cccc8ccc6666 |
|
VISUAL
aHash
|
f7e7e7e7e7ffff24 |
|
VISUAL
dHash
|
050c4d4c4c1a5048 |
|
VISUAL
wHash
|
e7070707e7ef2700 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
050c4d4c4c1a5048 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.