Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFE25235815095275B2718E5B475AF2E64EB830DCE13090E52FC8AD4AFE2CC6ED292BD |
|
CONTENT
ssdeep
|
384:D/M0mpIpAxKl3aODKeBIJ83a5afy0BgA6YE2tKd2qdT/3ag6+gK5GoKjmOPMWdi+:jBqQ1DIay0iA6PlD6+OSOkWdB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
edc03b92c33a9369 |
|
VISUAL
aHash
|
ffdbd3f3f3838181 |
|
VISUAL
dHash
|
6b37332363273b2b |
|
VISUAL
wHash
|
ff9391f1f1838181 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
6b37332363273b2b,7cbc9c7c64ecaea6,7c7f435cd0d3cdc9 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.