Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198E2E831B1103F37529792CDB3A2F71BA7934289EA860511A2FD83AD0FE3D51EA37516 |
|
CONTENT
ssdeep
|
768:iSky5NqBZF/PHk6pwo7sOy2+y9BH4cLIe:uzAo7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc3bed2cc582 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d288c4c2caccec00 |
|
VISUAL
wHash
|
0064fc70202cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0c0080025cd88000,d088ccc2c2c8ccec |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.