Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6C28771A100663B029BC3C9B762F73EB3E39289DB46090552FD935D8BE3E94D91742B |
|
CONTENT
ssdeep
|
768:MSCy5NzkBKkFoQvZj8fmF7sOy2+y9BH4c1Ie:0BKkfO67sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363b43acc2c94ed |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0c49c2c0c0d98d00 |
|
VISUAL
wHash
|
83ef3030000cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,0c494ae0c0c1d90d |
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.