Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194F151A1D464DD330B12C6D5B7F6772B76A1C259CB020E5063F893BA67CACA1C72189D |
|
CONTENT
ssdeep
|
96:TkOsCXxOWEMOEMOnz8pRfST8PUOlZw525wvFwexXcHFERefZXL/X/Ja+l+AT431:QOLAWEZEZnz8pcoPw5rmG8fl/XL8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c3de3e38018c2f7 |
|
VISUAL
aHash
|
ff0f0f0fffffff7f |
|
VISUAL
dHash
|
3074363c340010d0 |
|
VISUAL
wHash
|
fe02000000ffff3f |
|
VISUAL
colorHash
|
07600010040 |
|
VISUAL
cropResistant
|
3074363c340010d0,8c8c860218264742 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.