Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C7396B292502437617B79D9F064771AA2D3C70FCA8256E1A2F8939A0FD6CE1FC1744E |
|
CONTENT
ssdeep
|
1536:xdcXWn9rgro+2/bBWMpUuOnenGZK7H87HZ7H87HU7HY7HQ7HY7H/T7HY7H17Hb7G:LcXWirobVluuOy7c757c70747w747fTn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8471261c99cedbc |
|
VISUAL
aHash
|
0000d3ffc3c3dfdf |
|
VISUAL
dHash
|
c8c8b6301e0e3032 |
|
VISUAL
wHash
|
0000c3dfc3c3cfdf |
|
VISUAL
colorHash
|
070010100c0 |
|
VISUAL
cropResistant
|
c8c8b6301e0e3032 |
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 209 techniques to evade detection by security scanners and make reverse engineering more difficult.