Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0A38B33411875274437C6D530B55B3BE2A7994FFAA70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:ySjy5NR35BLz4NP3+mZY9svblTOCVrj0kt9+nFtiuCa28y2OZL:sbLz4NP/y9svbliCdZ9uFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9265fc32e93c9269 |
|
VISUAL
aHash
|
00600000000400ff |
|
VISUAL
dHash
|
8cccc4c8d9ac3db2 |
|
VISUAL
wHash
|
c0fefe30640e00ff |
|
VISUAL
colorHash
|
310410002c0 |
|
VISUAL
cropResistant
|
ca55714d4d715596,008081303000a000,8cccc4c8d8dc2c73 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)