Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196837372D310201ED09787ECC713B37CA09B906AEE89505DFDD9E365B20ACE2BD76598 |
|
CONTENT
ssdeep
|
1536:xezR+f0VwI0qyLVDEMV3UDuJ/OrK+G/SjUUcRJgF8dwFOblFeq:It5EV/P/OmDCRGO66Mpv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad696d93b4929296 |
|
VISUAL
aHash
|
9989fffbdfffff93 |
|
VISUAL
dHash
|
3333b1332c292526 |
|
VISUAL
wHash
|
9909199b8d9d3d13 |
|
VISUAL
colorHash
|
07001000e40 |
|
VISUAL
cropResistant
|
3333b1332c292526 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.