Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196E2A6319019A83F06A766D1E7B1B36A62C6838DD907072A42FE874C4FEBC54ED27499 |
|
CONTENT
ssdeep
|
768:5II9MuBTIIIIIokL7KxJl3cr9DiGPRlYjFsyn:5II9lIIIIIokCxJl3c5H5lYjWo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e3791c1c39e3c6 |
|
VISUAL
aHash
|
00e1f7ff7f3c1818 |
|
VISUAL
dHash
|
87cfcbdbe5e9f070 |
|
VISUAL
wHash
|
00e1f7ff7f381808 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3c2dd888c8c,0000706168440000,87cfcbdbe5e9f070 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)