Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18903FE721253052BD66694C1F7563B4AE0C6A305CA620C49FFF9973B9ECBC24FD3A924 |
|
CONTENT
ssdeep
|
768:jAbb8n/y9zjoZju+PPkAy2r9SY5iShUYZdepv7EfeFtUeyFbZ1QobSzgOQlDnDGi:9lXACeeekeeezeeeQeeefeeeueeepeeY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
953d127acb69843e |
|
VISUAL
aHash
|
000612fbfc58007f |
|
VISUAL
dHash
|
963ef6b238b0e8cc |
|
VISUAL
wHash
|
000612fefe7a0c7f |
|
VISUAL
colorHash
|
0a202008040 |
|
VISUAL
cropResistant
|
c61e72e7b3a194bc,2d2859b06dd88999,9a96b400a8a8a8ac,963ef6b238b0e8cc |
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 94 techniques to evade detection by security scanners and make reverse engineering more difficult.