Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18361E1328058EC2F56270E68F8CF2618216BC51DDB6A78C4F3EC11F94BE5F8591A67A4 |
|
CONTENT
ssdeep
|
48:TW92pVYMnm/jynjrn8bNOnbQt59ql8X54T5E2y0U0ANj02S08MJlma27D9NlfU:TSAYMm/eUYnbQb2EVlxxSxMJlmnD9Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be6ec0c1377ac0c5 |
|
VISUAL
aHash
|
81818181ffffffff |
|
VISUAL
dHash
|
333333332f000100 |
|
VISUAL
wHash
|
8081810181ffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
333333332f000100,b9b182a2a280a282,a9a994a2a280a280,a9a956a280a2a280,d292aca280a2a280,4cb2b2b2b2b2328e |
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.