Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D072C6B2705035367217D0EED996AB0933A4F175F68A124084B9B2BD27FDCA4E93D8F4 |
|
CONTENT
ssdeep
|
384:MMnC44lXi4yJMqG5SnCqoM+9X2v2RR9tUvCY/94gJ14ha48BHsMk5w:7C44bMOm0zUvCY/9d22PkK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ddf266cc98f72202 |
|
VISUAL
aHash
|
8000001818000000 |
|
VISUAL
dHash
|
50504c32b24a5255 |
|
VISUAL
wHash
|
ffa500bf3c98b700 |
|
VISUAL
colorHash
|
38006200000 |
|
VISUAL
cropResistant
|
828114dcdcb000a2,50504c32b24a5255 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)