Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DC28771A100273F02A7C3C9B351F71EE2E3924ED646181A53FD876D1BEAE50ED2761A |
|
CONTENT
ssdeep
|
768:3SXy5NV53Z0dSW1n1fio+icE7MzWJNT7sOy2+y9BH4c1Ie:N3Z0dSW11BHuzWJNT7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d76bfc32d02d8483 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c3c3cc6cf600 |
|
VISUAL
wHash
|
80f571200c06ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
008080084c808000,1409cbc3cbccece6 |
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.