Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AD2EEF4E966853704A793E8B1FA4BAA31E6930DD986030553FE43B80BEECD0FD46855 |
|
CONTENT
ssdeep
|
768:D0GPZewvJXm0zLWWn765Rz+6Jx88AE6TjnqhOlrf0Al1xgvPYLpx202pq/QO3Tl:D0GPHp3zLWK765R+6Jx88ANvnqhOlz0m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3739913268c9dcc |
|
VISUAL
aHash
|
e7e7e7e7e7efffff |
|
VISUAL
dHash
|
4c4c4c4d4d4c4d14 |
|
VISUAL
wHash
|
2424e6e7e7e7cb00 |
|
VISUAL
colorHash
|
072000c8001 |
|
VISUAL
cropResistant
|
4c4c4c4d4d4c4d14,7e767692ba6cecf5,e6a2b3b0f2d2d226 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.