Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126D29531A1006B3B41E782C9B361E32BE6E7938AEB46051592FD83AC0BF3D54DE37556 |
|
CONTENT
ssdeep
|
384:VSby5NZyrIGQP1Q8665p6THDAPkr6bV8mLIYsOy2+y9BH4cUUIe:VSby5NZyKUjka47sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d264fc32e91892ed |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
9cccccd0c9cc3c00 |
|
VISUAL
wHash
|
00fe7020006effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca714d9e9e714596,1080800458988000,9cccccc0c8c9cc3c |
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.