Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EC27671A110673B02BBC2D9B3A1BB2E62D3824DC74B191153FD836D5BD7E10AE3716A |
|
CONTENT
ssdeep
|
768:Le43fd2dp+xfZ/IbH27sOy2+y9BH4cLIe:pfdBhZH7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3439638bc3ce4a6 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9ccc0c8c8cc00 |
|
VISUAL
wHash
|
067c64302064ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
cc1c008858d88050,d4c9c8c4c0c8c8cc |
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.