Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18113B7720984673F998392C4F3106A1FE3958344D2B6CAD9F1E9C71B52C9E85C87BB9C |
|
CONTENT
ssdeep
|
768:TOh5LFlY1kySWF2SLoh1wEfAdmAWO/K4UyGjjhk2MDLLVZRdRTevVqiyEJOB:TOh5LFlY1kySWF28VIAdmLO/dmjKnHJt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebeacbcac896 |
|
VISUAL
aHash
|
fd06060606fffff9 |
|
VISUAL
dHash
|
71ccccccec3c3313 |
|
VISUAL
wHash
|
fd060606060efff9 |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
0001496161490162,96d6e8b294710f8e,c0303c2c53311313,ccccecccccececec,8d83939393f3dbda |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)