Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183E2A631A1002A3F0297C3DAB311FB2EE2D39389D706190653FD575D5BE6E91EE2352A |
|
CONTENT
ssdeep
|
768:fTy5NKI9zwajpiNwXIpVMQ7sOy2+y9BH4cLIe:49zwxKIpVMQ7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c764b03bbd12cd98 |
|
VISUAL
aHash
|
000070200000ffff |
|
VISUAL
dHash
|
9cccccc05050dc00 |
|
VISUAL
wHash
|
00e2fe700030ffff |
|
VISUAL
colorHash
|
39600018000 |
|
VISUAL
cropResistant
|
e850808158d88000,9cceccc06050c0dc |
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.