Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B403D81062502576C9570BFEF3A4F386A55BF2BDCFEF5044B7AE010633D2C6499A688B |
|
CONTENT
ssdeep
|
768:bplvXG8LO9+29mSC5IvCmtFCB1pqP+f/jvR+RJdFv4NT/vo9y3gzyZTn:p7OK2IBHqPO/1+RJPv4NTv1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926d6d926d989acc |
|
VISUAL
aHash
|
58183c007c6e6e60 |
|
VISUAL
dHash
|
90e070b2ecececc4 |
|
VISUAL
wHash
|
7c083c007e7e7e74 |
|
VISUAL
colorHash
|
1a000040006 |
|
VISUAL
cropResistant
|
f0c892d3d0ccf8ad,90e070b2ecececc4 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.