Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C432B996841B01A4B7340F344BF1ACAB33D1C1FE80D45E19564DBEA76A84B9713BF8B |
|
CONTENT
ssdeep
|
768:FyWu1PNX8UUqTajHCTSSOrakUxpkTHIznJqjCYxf+lSxHyOzxHRBaW/Sy3sIWj8O:sOyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91eeee99e9550941 |
|
VISUAL
aHash
|
ffff0a0b0b0f0000 |
|
VISUAL
dHash
|
035c9a9a9a9adacb |
|
VISUAL
wHash
|
ffff0e4f0f0f0000 |
|
VISUAL
colorHash
|
33c00600000 |
|
VISUAL
cropResistant
|
03006ad496c00002,fef9e9c1a246ccc1,7438385c3cbc9dac,030303c3d3030303,9a9a9a9a9a9acacb |
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 478 techniques to evade detection by security scanners and make reverse engineering more difficult.