Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEB2E873711D68372297C9CAE292B24C92C2D68BCB5554D4B7E9C36C47F2CB0B993728 |
|
CONTENT
ssdeep
|
384:TKGYOhrVLgc6oz/dqJkRAOUzMUIKYowzrTb8owIAI/eLo/zKhFvUDZeg7eMGeKxl:BDz/ehpoO4c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2728e8e8c3c8d8e |
|
VISUAL
aHash
|
eec0c0c0ffffffff |
|
VISUAL
dHash
|
1c8d989c05404033 |
|
VISUAL
wHash
|
80c080c090ffffff |
|
VISUAL
colorHash
|
06000038200 |
|
VISUAL
cropResistant
|
1c8d989c05404033,6f7f9f9fbf7f9f87,06265aa363e2a2aa |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.