Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D052FC32A1429D7310A3E2E6F371972F76C1C389CA531752A2FD879D2FC6CA6DD11258 |
|
CONTENT
ssdeep
|
384:vYjnrVJP2HliPhK8eRe/eIekeRlK+nRTZ:YrVJP2FYhK8eRe/eIekeRlDR1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33199313373cccc |
|
VISUAL
aHash
|
cdffff24243c3c3c |
|
VISUAL
dHash
|
99994d4d4d696969 |
|
VISUAL
wHash
|
0cefef24243c3c3c |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
99994d4d4d696969,331332dab7bb9ab2,337372faa7bb9ab6,4db2b2b29ad23508,e869b094f032d4f0 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.