Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181931BB51345663F1043C2F1E31AE52AA385DA49DB338D43E3EC8327B5D9CE8AD648D6 |
|
CONTENT
ssdeep
|
768:H8RuUraUU8mxcI9uITQKvNySwUMC6dNDRuUraUU8mxcI9uITQKvNySwUMC6dNJKH:EBVKk0Ig20J/FUbKCO/vK0mO/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ec7c3d81ccc18 |
|
VISUAL
aHash
|
ff839f9fdfffffff |
|
VISUAL
dHash
|
432e3c34b0d43403 |
|
VISUAL
wHash
|
00001e1e5e1edfff |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
432e3c34b0d43403,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)