Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179F21130D091562B02C34284E6F2A74F52B49346DF230DF9A3E8475EEBCBD8CCE5A656 |
|
CONTENT
ssdeep
|
384:uygGWkQg6xSZIdu0RXxxSZEQPOPr23tIqVwlaqEFIWDIFLIqeIdWMUbMO0i4gMg0:ueHIMAVHto9kjAZl7wI/RQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95f54e3cb43c1ec0 |
|
VISUAL
aHash
|
e66666664e060119 |
|
VISUAL
dHash
|
8cccccde9e7cf3f3 |
|
VISUAL
wHash
|
f66e6e0e6f06011b |
|
VISUAL
colorHash
|
18000000180 |
|
VISUAL
cropResistant
|
8cccccde9e7cf3f3 |
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 160 techniques to evade detection by security scanners and make reverse engineering more difficult.