Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4E131B0A59845B73187C7B0B1F4BF9EE184A617C713E554F3D0A3589ACAC75CF49205 |
|
CONTENT
ssdeep
|
96:GQrCSdlRDq1e8fluDpF/Dwfs6GTStmrbSBL:zrLDq1nNuDPLmtBL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93936c6c399b6564 |
|
VISUAL
aHash
|
006c6c0c04000000 |
|
VISUAL
dHash
|
83c9c9d948400800 |
|
VISUAL
wHash
|
4f6f7c7c7c700000 |
|
VISUAL
colorHash
|
38c00000400 |
|
VISUAL
cropResistant
|
b4b8b8786ae2224b,83c9c9d948400800 |
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 494 techniques to evade detection by security scanners and make reverse engineering more difficult.