Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F5373B09181993B02A3C6D467307F8FA2D6E249EB93026593FDC7A81FC7C95CC1656E |
|
CONTENT
ssdeep
|
768:iGe//MxX9bvyn69rjpm4nV24Dd14eMwZJkVFFVmNOZ7:iC9rr9zLAFF5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6992966c99914d |
|
VISUAL
aHash
|
fff1f9d1d1e7ffff |
|
VISUAL
dHash
|
29233323270f2303 |
|
VISUAL
wHash
|
fdf1c191d181c3a5 |
|
VISUAL
colorHash
|
07400010040 |
|
VISUAL
cropResistant
|
29233323270f2303,e9b1c5c342bb9d6d |
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 326 techniques to evade detection by security scanners and make reverse engineering more difficult.