Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15423B722F580793B14C34BD12BF0A75DF2C2834FCE561605DAF8C75A8BA3EA5D813669 |
|
CONTENT
ssdeep
|
768:+I4WyWWKG5d22Zirfgkd0ykU9acL5gZ6JkqnaTVkBTIa1Y+jV5:+I4PWl8d22Zickd0ZSacL5xbnOkBTIap |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b727cdfd3992c080 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
4c44cdcd9f2be8aa |
|
VISUAL
wHash
|
bf00040000ffffff |
|
VISUAL
colorHash
|
030060000c0 |
|
VISUAL
cropResistant
|
020007272700066e,d42b0be8a8e0aaaa,4c4c46cdcdcdce9f |
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 84 techniques to evade detection by security scanners and make reverse engineering more difficult.