Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14923C93044C4AA3B519363CCD310AD5FE3A58049F7B6C96AE0E9871F72C5D94CD6BAE8 |
|
CONTENT
ssdeep
|
768:xMqL/jFDkIdk2tkz3+DdzktSkpO/fm2X5yWkHblpBn+Jk+4iLtWkgqB:xMqTxDkAk2tk7+pzkthO/f7appBnytWK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebcac9dac896 |
|
VISUAL
aHash
|
fd0006060600ffff |
|
VISUAL
dHash
|
61cceccccccc1933 |
|
VISUAL
wHash
|
ff0606060600ffff |
|
VISUAL
colorHash
|
160000001c0 |
|
VISUAL
cropResistant
|
0021c96161c9014a,96d6e8b094710f8e,c0181a4c0f403333,ccccecccccecccec |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)