Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182423FB221146D3302D3C9E4BA303B5F9AE5E34CCE53CA6192F8571DABC5CA6EC84755 |
|
CONTENT
ssdeep
|
96:Xusy76rzhs3diItOanbAUwpt6YXhSRzLBzfqvzmzRfuZfRx8f/YfVAfBIfvAf7rc:J5jQ5Uo4uOAHcyxn8cnqpTTV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aaad151654d25b6d |
|
VISUAL
aHash
|
070f0bf303010700 |
|
VISUAL
dHash
|
5f3b9b87a755f537 |
|
VISUAL
wHash
|
0f0f0bfff7030701 |
|
VISUAL
colorHash
|
09c00000008 |
|
VISUAL
cropResistant
|
febfb7bbde9b9b9b,d6dcbcadd4e4e4f0,cfbbeffbfbfbbfb3,5f3b9b87a755f537 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.