Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101C29671A140673B0267C2CDB3A1B72E62D3824DC74A1A1153FD876D0BEBE50BE2715A |
|
CONTENT
ssdeep
|
384:be7HOhMQLJP/5xyM2/4hvlaQHq+ubUsao0PIYsOy2+y9BH4cCUIe:be7HOnQ4BwAq+UaX7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3479239bd3cec84 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9c4c0c8c8cc00 |
|
VISUAL
wHash
|
027c74302064ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
cc1c008858d88050,dcc9cce4c0c8c8cc |
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.