Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C521C074A85D9C7B81D2E6D4E5E56719B7C4CB05CA871B0432F8D3AC0FD2E19CC5505A |
|
CONTENT
ssdeep
|
24:hR/CRalMNVk9MR6SOxV2wN9UC+YZhBXxXW:TQnVXEzHHjxXW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3d10ce623d919e6 |
|
VISUAL
aHash
|
ffffffffe7ffff00 |
|
VISUAL
dHash
|
0030584a4d308403 |
|
VISUAL
wHash
|
fcfcececc4dc8000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0020585a4d4c3000,0001004343000100 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)