Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E60331719111593B16278AC4B5755F2F31E6C24DEB130884A3FC87ADAFCECA1EC36986 |
|
CONTENT
ssdeep
|
384:H9JSNeIgWSsG2h+9hoShzhy+GK5KIcDuscDM1KqVEATlQft:dJSNeIgWSsutGUH+K0PWF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3857e0d78217633 |
|
VISUAL
aHash
|
083c6eecfc7460c0 |
|
VISUAL
dHash
|
b8f8cc98c8ccd909 |
|
VISUAL
wHash
|
083c6efcfcfc60c0 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
78eccf968c869a8e,ba0036666e727262,b8f8cc98c8ccd909 |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.