Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3C28632B150263F02E7C3C97355E72AA6D2574CE646090296FD93EC0BEBE54EB23716 |
|
CONTENT
ssdeep
|
768:Ioy5NjzZ3qJrZB0qCImZBZe13Jq7sOy2+y9BH4crIe:qqJxlmZBMW7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d53aba1939c1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c7c3eccdcbd200 |
|
VISUAL
wHash
|
60f3703c0100ffff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
0080a00a30b08000,d8c3c7d2cdc9c9d2 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.