Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E83667D23C2463A95CBC2E2FA94AF59D19DC79BCB135C8AF3E8C2474B46C14CE46260 |
|
CONTENT
ssdeep
|
768:NHCFfPqfvybfXHwo4xBg28LKSx1v3PZKGEWbr93/ePCnZ7viJBJBse+fZHzaDbcN:2fifBSx1v3PPEWbQkF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9a9d2b2c6e8dad0 |
|
VISUAL
aHash
|
ff0b0b1303030100 |
|
VISUAL
dHash
|
dbd7d3f3d7d79b90 |
|
VISUAL
wHash
|
ff1b1b3b1303035a |
|
VISUAL
colorHash
|
07600008040 |
|
VISUAL
cropResistant
|
cbdfd3d3f3d7d7b3,53536a3617165d77,2040838b73a36393,dfd3d3f3d7d39a90 |
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 138 techniques to evade detection by security scanners and make reverse engineering more difficult.