Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139417171008E9E3B468397DDAB6AF34273C1C684CB1B278547E5A3AE2BD7C84DC08596 |
|
CONTENT
ssdeep
|
48:gHcCbwfctJIkbwmrwpwEwmRmDbmqfRTuIe:g2vkb9wplw0SyqfRT8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333639933362267 |
|
VISUAL
aHash
|
e7ffe7e7ffffffff |
|
VISUAL
dHash
|
4d120d0ca1716106 |
|
VISUAL
wHash
|
04e3c3047d1cbfe3 |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
4d120d0ca1716106 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.