Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184C2A772B014273B02A7C2DD73A1BB1E62D3428ED74A1515A3FD836D0BEBE10BE27156 |
|
CONTENT
ssdeep
|
768:7e4hM9Ym9auagpuya8b7sOy2+y9BH4crIe:j2U1gYq7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c302b438bc3ce5e7 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9ccc0c8c8c800 |
|
VISUAL
wHash
|
066c74302064ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
8c00980258988000,d4c9cccce0c8c8c8 |
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.