Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117718337E0686127130385F6BB51354C47C793ADCF85ACC0A9ACE96FB788EB298653D4 |
|
CONTENT
ssdeep
|
96:qzoPdu1w/exdjrOdjhtdjXdjTdjhddjJdjxBfvoFtFkFKrSleeBON1r:qEPM1wGxZqZhtZXZTZnZJZCmFON1r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
888de326485daaf7 |
|
VISUAL
aHash
|
ffffff1800000000 |
|
VISUAL
dHash
|
c8e870b2b0ec86d1 |
|
VISUAL
wHash
|
ffffff185e040000 |
|
VISUAL
colorHash
|
03e40000000 |
|
VISUAL
cropResistant
|
ccc2c9f072b2b2b2,70b2b2b0ecec92d9 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.