Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10232A96690506777417381D2FBA0D3EA63E1C489D58603C592FDC32C1BFAE6AFC3664A |
|
CONTENT
ssdeep
|
192:/n7QJazLyItEx9w+oTZjDfXFR9BCVGaI7a/WVi:/8Qltkbo5jFR9BCVsaeVi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ddd6260999b8366 |
|
VISUAL
aHash
|
40c2be3e1800003c |
|
VISUAL
dHash
|
8c167030363670c8 |
|
VISUAL
wHash
|
c0debebe1e18103e |
|
VISUAL
colorHash
|
38006000080 |
|
VISUAL
cropResistant
|
2966465bd6ad9617,8c167030363670c8 |
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 53 techniques to evade detection by security scanners and make reverse engineering more difficult.