Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10832DB7072902ABB91CBD2E1B275AB5B72C8CB4BCA57D701A3F983845FC7C92DD48254 |
|
CONTENT
ssdeep
|
192:4ZLLSPaLKGHnC/EDwsTwaocZ4J3u5uxTRWAwzDfS:+L6QHnCsDwwZITJRWAwzDq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b366666633996626 |
|
VISUAL
aHash
|
e7e7e7ffe7e7ffff |
|
VISUAL
dHash
|
4d4d4c5a4c4d120a |
|
VISUAL
wHash
|
e7e7c7cf00002838 |
|
VISUAL
colorHash
|
07000200030 |
|
VISUAL
cropResistant
|
4d4d4c5a4c4d120a,0008b2b2b2b23008 |
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.