Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B65FF21E3613807A63FA8C5F86B9B9873631B57CE050DB57AE88377F98D47414B42E8 |
|
CONTENT
ssdeep
|
3072:tBxbQOYbi5oYL2vSyMoggES4hI9GCgg10KDhxPJWs:P9Qjbi2tkkES4i3DhZJWs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f320d99b9a753131 |
|
VISUAL
aHash
|
e7c3c3c3e7e7e7e7 |
|
VISUAL
dHash
|
9e86968e4d4c4c4c |
|
VISUAL
wHash
|
03030303e7e7e6e6 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
9e86968e4d4c4c4c,e4e3d8ec6888094c |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.