Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197C28831B104273B019B93C97312F35EA2E3A2C9D74A0D1553F9935D8BEBED0EA1352A |
|
CONTENT
ssdeep
|
384:9e/y5NSOW2xSR/DtsKRhjdfcmoznCq5Y/Eb5jysbciyIYsOy2+y9BH4cCUIe:9e/y5NSOA/JozkSy17sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc389928c783 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
044cccc2cccdd300 |
|
VISUAL
wHash
|
80eef6202400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cccc6cacccde3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.