Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D88235E1D550EA3A472381D4E7B16F5B7361C349CF460954A3F8536BABCACA0CB3249D |
|
CONTENT
ssdeep
|
384:iYYY+zVc1fhFGp4jFMLMoSM6ZM9SMfw5YedSx4e8xwnV8F:iYYY+Rc1fhFGp4jFMoeF9oOeox4HOnuF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c547b23e887cb878 |
|
VISUAL
aHash
|
a1700078380000ff |
|
VISUAL
dHash
|
4d4912f2f23707dd |
|
VISUAL
wHash
|
f7f0f878380001ff |
|
VISUAL
colorHash
|
07002000080 |
|
VISUAL
cropResistant
|
aa4945646a99ba56,18c1d1d1d1d1d1d1,6f4912f2d23d079f |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.