Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D71341733088659F8323E7CC3C10B35EA157815BCA9A6E4772E58F5D7E869A1BD040AF |
|
CONTENT
ssdeep
|
768:WQhpu32Ww9S26X9aoxUUCOpFC+7p2dhklTPW/dd1KNzklT/idBI73t92f4JIm9nQ:WQhpiaS5NaoxUFH+7p2dr/KV43BOsLyd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb9924bc9991da99 |
|
VISUAL
aHash
|
bf203c3c3d3c2020 |
|
VISUAL
dHash
|
6d49696979694b4b |
|
VISUAL
wHash
|
ff003d3d3d3d2121 |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
6969696972869660,e466fa6e6a6565a4,c0183b1be8c03838,4f69796969694f4b,0d3332711a1b674b |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)