Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBC26572B1105A3F419782CDB261672ED2B3430ADA420A5A62F983AD57F7D54EF3343A |
|
CONTENT
ssdeep
|
384:myMU3BGtRk5VPeaJwxyHtlPlX2P6sHR1EGPIYsOy2+y9BH4ciUIe:PMU31bw4FlXAjP7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247dd329929b8c9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
98cce4c8cd8d8300 |
|
VISUAL
wHash
|
0c7c30007445ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,18ccc4e0c8cd8d83 |
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.
Pages with identical visual appearance (based on perceptual hash)