Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7D2943270106A3B51D392CDB761E71BE2E3974ADB86041692FD83ED4BD7D54CE2342A |
|
CONTENT
ssdeep
|
384:qSkZ4rcWIRvpbYzKYRSh9D7WTYJCQTZFw2ms9cnXIYsOy2+y9BH4ciUIe:qSkZ4rHSuYJNcs9+7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bc6de54296ba |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
c4c8ccccc8e0cc00 |
|
VISUAL
wHash
|
00002e7c7838ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
6080800458988000,c496c8ccc8c8c0cc |
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.