Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EC29732A1006E37529782DAB3B1672E62E74349DB81061993FD43ED17E3E54DE7383A |
|
CONTENT
ssdeep
|
768:LQeptY1XVqOWCfV+uRI7sOy2+y9BH4crIe:rYWSV+p7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243dd3a9839b989 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
88ccc8c8cd8d8300 |
|
VISUAL
wHash
|
0c7430007c45ffff |
|
VISUAL
colorHash
|
31030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,b8ccccc8c8cd8d83 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)