Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13FC29531B0007A3B019783CAB761EB2FA2E3534BDA97050592FD83AD4BE7D54DE2355A |
|
CONTENT
ssdeep
|
768:MSkZdLjasECxLWfYw7TtN47sOy2+y9BH4cLIe:sOYx7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c622bd6dc54692ba |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
ccccccccc0e0cc00 |
|
VISUAL
wHash
|
00006e747838ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
6080800458988000,ccc2ccccc4c0c0cc |
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.