Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188E27532B020563B42EB82CCB6A1BF2DA2E3824AD745145496FD87BE4BD3E18DD33655 |
|
CONTENT
ssdeep
|
768:8erO5887OGGs8CnmrFlCT99Yl7sOy2+y9BH4crIe:q588Os+lg9Yl7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c347bd3ab038d4b2 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
c9c0c0c0c9c0d700 |
|
VISUAL
wHash
|
00383070ec70ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
008080004c888000,09c0c0c0c9c9c1d2 |
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.