Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9838631B645183A25AB42DEF1277A4DA1C5C3CAC5425ED9F3F4832D8FF2EA0BE61161 |
|
CONTENT
ssdeep
|
768:eN46J0cG0RT4J06Ty5PTvqgJEHq3merVZ1cIcSS8zB9cSEK1jF:+48NRTKylCgJEK3merVZdNEK1jF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e89be4818ff08778 |
|
VISUAL
aHash
|
ffff00000000c0ff |
|
VISUAL
dHash
|
00652d2df0d49405 |
|
VISUAL
wHash
|
ffff00001830f0ff |
|
VISUAL
colorHash
|
06c00008000 |
|
VISUAL
cropResistant
|
0020202323290075,94969696876565c6,652d2de9f4c49605 |
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 761 techniques to evade detection by security scanners and make reverse engineering more difficult.