Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A852413004DAADFB40E7A6E0EF756F6BB3C18245DA12050101FA87AF4BEFE85DE06255 |
|
CONTENT
ssdeep
|
192:9L9BH5pprlGkK2VXw6I2cgcxF0LOX/5sFeiEP:9L9v/Q3z5g9EP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1c6cb9a65646599 |
|
VISUAL
aHash
|
ffffc3c3c3c3c3c3 |
|
VISUAL
dHash
|
b03d969696969696 |
|
VISUAL
wHash
|
5ec1c3c300000000 |
|
VISUAL
colorHash
|
0ec00000000 |
|
VISUAL
cropResistant
|
b03d969696969696,118fecece8b8d8f2,3225397159331352 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)