Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4C2847191001B3F02A7C3C9B761B72EA2E3928DDA49192653FD476E4BE7E40ED1352A |
|
CONTENT
ssdeep
|
768:zSXy5NPaFNPQ96hcZaYki3AcneBzoPp7sOy2+y9BH4c1Ie:cFNPQ96hct1QcnEzoPp7sOy2+UBH4c1l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936bfd12d4699483 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c3e3cc4cd300 |
|
VISUAL
wHash
|
80f571000e06ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
208080106c888000,1449c3c3ebcc4cd2 |
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.