Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147234A726732B46843DB92DEF7382D46B2D2489DE8C74454F5C95ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a9HWI+EsZx8/G874uDawlMDBVow8MDBV2Ucix+y9dQpUDF1E56ITmHDLBABW8KPg:a9HWI+EsZ/8UuDawlMDBCw8MDBcUXx+j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b86c6db991c6c692 |
|
VISUAL
aHash
|
8181f3dfcfffffff |
|
VISUAL
dHash
|
333327171b001800 |
|
VISUAL
wHash
|
8100000081ffffff |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
333327171b001800,310d333361710d01 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)