Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4F12EF1D010ED3B0353C6D9A7B67B0B7291C349CB431A45A3F893AE6BDAC60CE21599 |
|
CONTENT
ssdeep
|
192:Q4QEQKngknzD715lt8ihQetGGe5Qgp6XU5Qlwdw:Q4QEQ/kznf1hQetGGYQgbQlwdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0b24de906ed4f92 |
|
VISUAL
aHash
|
c7c7c7c7c7c3c300 |
|
VISUAL
dHash
|
0f0f0f0f0f1b06e4 |
|
VISUAL
wHash
|
c3c7c7c7c7c3c300 |
|
VISUAL
colorHash
|
06002600040 |
|
VISUAL
cropResistant
|
0f0f0f0f0f0f1b07,2751596951594d67,512120052528d7d6,8e8e8e8e8e0e9c98,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.