Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC5173752010541F320385B5E8A7B389D09AE30FC652AE78F37512FABAD5EF4C076122 |
|
CONTENT
ssdeep
|
48:TGiNRp4WWhBguruhyNaNglTrTt8+U5p3GmGDFfhxSFfupw4cFfoaPGiXLL:TGO+Zr+883p3yDgcIfOiXLL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8506873723fdd8c |
|
VISUAL
aHash
|
0000ffffffff83df |
|
VISUAL
dHash
|
82b2b690c0475725 |
|
VISUAL
wHash
|
0000dbffffff0101 |
|
VISUAL
colorHash
|
0e1c0010000 |
|
VISUAL
cropResistant
|
b2b639c5c8577765,00829292920084b2,4f4f4b4f4f4b6939,656565092a2f6766,a4eced53ab2b3317,9a9953434a475404,72525b4b4b495a60,e9695595b5d5ce49,e6e2eb4b5a5ab9ad,a52545697414ce2b |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.