Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDB2A872A658667B009381D6E66973AEF2F7815CEAC7020043FC836C4FD6D9AED33644 |
|
CONTENT
ssdeep
|
384:B26NDFby6Eu1u1uKaE6D3zMPeYx+DLib+/CFUc:hyjHo1ibVFUc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
81d43c353cbd52ad |
|
VISUAL
aHash
|
02707c7870600301 |
|
VISUAL
dHash
|
9cc7c0e0c2ccdbd3 |
|
VISUAL
wHash
|
46797f7e78600f01 |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
d5c7a79555555949,8c4f511135251609,9cc7c0e0c2ccdbd3 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.