Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118D184A05034492F655785B5F055BF25B0CAE388CB67BCBCE29CC27A2FDDC68C99E490 |
|
CONTENT
ssdeep
|
192:tS5AvA3AgAMAnAyZunGIhSBrO7fJojpp+eIpfLLb9WVTY:UKoQHzA8uGIhSBO7GCtpzLb9WVc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c66b68b64b69b449 |
|
VISUAL
aHash
|
f0f0f0e0f4f6f0f0 |
|
VISUAL
dHash
|
2424c4c5c4cc2324 |
|
VISUAL
wHash
|
f0f0f0f0e0f6e0f0 |
|
VISUAL
colorHash
|
38007000200 |
|
VISUAL
cropResistant
|
0000004d0d080000,2424c4c5c4cc2324 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.