Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121D32421CAA45733D20A07CAD3EB765662AAC2C7CC5278E8F170827497BEC4C5D77DA1 |
|
CONTENT
ssdeep
|
3072:2gGKJrjylK2E6IOZuagKI3ImJS20gIYLQICeIkPksuGIyIhuBnvFy7x:2tKNQ5IZf3NRG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed16bd926a934724 |
|
VISUAL
aHash
|
ffe0000000f1fbfb |
|
VISUAL
dHash
|
4e22624345e31213 |
|
VISUAL
wHash
|
fff0200000f1fbfb |
|
VISUAL
colorHash
|
06e00008000 |
|
VISUAL
cropResistant
|
2b22634345e31213,0002041414040200,9696969311531b59,8202020606060606,9f8d0d8c8f232260 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)