Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0D28432A100373B129782D6B751BB1AE2E2D38DEB56090552FC874D4FD7D90EE2396E |
|
CONTENT
ssdeep
|
384:0ayy5N6ByfC2VD8bOyM810WMKnp4JGZKcKB8rGR0/IYsOy2+y9BH4cUUIe:0/y5N6edTWk2QoGI7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c723841af86cbcce |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
dcc84e4a4848c300 |
|
VISUAL
wHash
|
006f30a8ac20ffff |
|
VISUAL
colorHash
|
31030000200 |
|
VISUAL
cropResistant
|
4080803030808000,9cc8ca4a48484ce2 |
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.