Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAE39DB124E77E23014771D0ED6E5B076AC89348CD8616CC5AAA4EF81AD6F91F80973F |
|
CONTENT
ssdeep
|
3072:LydDYVdeMJ4eWAe8eJvGNDe+epj6Le/SeCeqeVemeHvD+ve6ez7EhbFaY4kuV1JM:LRVgGHWfr8U5l/NdVIRtFPy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b047cf3077693247 |
|
VISUAL
aHash
|
20ffffc3c3c3c3ff |
|
VISUAL
dHash
|
cc281f1f1f1f1b1e |
|
VISUAL
wHash
|
00dfdf838383c3c7 |
|
VISUAL
colorHash
|
0e601000040 |
|
VISUAL
cropResistant
|
cc281f1f1f1f1b1e,f0a272e536d49cfa,f0f8f293ccecc4f0,01030b0b0b0b0083,0000199999190008,d4ccccd4d4c4ce8c |
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 127 techniques to evade detection by security scanners and make reverse engineering more difficult.