Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1007154B084549A3B12C387E1EB627B0B5393C399C7472E4459E4728F4ECEC6DDD9D0A5 |
|
CONTENT
ssdeep
|
48:BAS7InNZzY4HQfIkScC0MQy7MENVu5Scu5lSs:V7IrhQfXa0MQFeVu5SHSs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3236666cc66cccc |
|
VISUAL
aHash
|
c3c3ffffffe7e7ff |
|
VISUAL
dHash
|
4d4c2010584d4d20 |
|
VISUAL
wHash
|
c0c0e4ece4c0c0fc |
|
VISUAL
colorHash
|
07000010180 |
|
VISUAL
cropResistant
|
4d4c2010584d4d20,40148c2c1c152c4c |
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 914 techniques to evade detection by security scanners and make reverse engineering more difficult.