Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159B1F134E4B4CC7B9547C6F0BBF8DB2B1BE98365C7061A8463D8D79A5AE7C00C9246E4 |
|
CONTENT
ssdeep
|
96:1blPvI/k/J1HXYEeHNoV4s0HyvOTWb1ikpbGyNt1GG0hOgevd:LI/kzoi+9kpbGyN3GGl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b167474e5c4c4e47 |
|
VISUAL
aHash
|
00efffffffffffff |
|
VISUAL
dHash
|
604d0c9010000000 |
|
VISUAL
wHash
|
00c3c3c7c0f0f0f0 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
0c0c101400000000,2018646464601020 |
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 126 techniques to evade detection by security scanners and make reverse engineering more difficult.