Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199C29632A1002B3F029793C9B311F72EA2D39389D75A0D1552F8975E4FE7EA0DD2355A |
|
CONTENT
ssdeep
|
768:/Ie/y5Nw8+VOWyG3vv7sOy2+y9BH4c1Ie:XO8vv7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c376fc3a9529c192 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
144cc4c2cccdd300 |
|
VISUAL
wHash
|
80e6f6302400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944cccc6c8cccdc3 |
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.