Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1D29772B0107A3B429382C9B662A71FE2E3430FDA86051597FD83EE17E7D54DB2351A |
|
CONTENT
ssdeep
|
768:e5Zwdyd4ly+DnCLxDOLhqF5CCvcWsypayQZeUIVv6n2Z9BnYql17sOy2+y9BH4c5:Pgd4ly+DnCLxDOLhqF5CCvcWsypayQZQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bc6dc542d6b6 |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
c4c8ccc4c0c0cc00 |
|
VISUAL
wHash
|
00006c7c7838ffff |
|
VISUAL
colorHash
|
3a000000230 |
|
VISUAL
cropResistant
|
0880800458988000,cc92ccccc0c0c0cc |
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.