Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120C2A531B1406A3B11A7D2CAB761E72FF2E3934EDA86045492FC83AD4BD7D54DE23429 |
|
CONTENT
ssdeep
|
384:FSkZsBHyRNVJIYz6Yl3Get1t486Y/HeBxrR8tqyIYsOy2+y9BH4ciUIe:FSkZsBSh1IXBxrRMD7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc2dc54296ba |
|
VISUAL
aHash
|
000000200000ffff |
|
VISUAL
dHash
|
c4c8c8c8c8c0cc00 |
|
VISUAL
wHash
|
00006c747878ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
0880800458988000,ccd6c8c8c8c8c0cc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.