Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13803B772E055903613630FE0E5792B4A72B3F74EDB168998A3FAD2B67BC6CE04E110D5 |
|
CONTENT
ssdeep
|
768:sQUuwq2fLu602MGLNkjJO9WGYHcb2C5oz1GEMNBKpUxTiMMbksEcS0fcS02cS00+:sQtwq2fLuV2MGLNkjJO9WGYHcb2C5oz4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
837a24cc7d939336 |
|
VISUAL
aHash
|
00303c3c387e7e7e |
|
VISUAL
dHash
|
98606979e0f0d4d4 |
|
VISUAL
wHash
|
00382c3c3c7e7e7e |
|
VISUAL
colorHash
|
31000030001 |
|
VISUAL
cropResistant
|
98606979e0f0d4d4 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.