Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DF6186727008CC2F32635595FC937148E5A6E20FC5566D24F27A56EA7AD1DF884B3232 |
|
CONTENT
ssdeep
|
96:bmWUixOxf+SMGMJVKvWh3kZz5L++cIKOkbL:bmWUMQf+Sbeb38Z++cIKOkbL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8506871713ff4ae |
|
VISUAL
aHash
|
0000ffffffff83df |
|
VISUAL
dHash
|
82a29690c8475725 |
|
VISUAL
wHash
|
0000f3ffffff0101 |
|
VISUAL
colorHash
|
0e1c0010000 |
|
VISUAL
cropResistant
|
b69639c5c8577765,00829292920088b2,6f6763676f692939,656565092a2f6766,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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.