Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D973966061329E6701EB82C4A5B79B59A0E48340D22746A9F3FCC7FE5FCEC58EE67111 |
|
CONTENT
ssdeep
|
768:GY43i1pSHO4+572WO604L3MC0hE063ienssx/jnd8Uf7b82:GDy1pSHO4+572WO6G6SenssxbdD7b82 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98ddcd8811363677 |
|
VISUAL
aHash
|
1cbc040401818000 |
|
VISUAL
dHash
|
b0734c9919252500 |
|
VISUAL
wHash
|
7efdfe8ec5818100 |
|
VISUAL
colorHash
|
300000082c0 |
|
VISUAL
cropResistant
|
4c4c3078d0805171,b0734c9919252500 |
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 139 techniques to evade detection by security scanners and make reverse engineering more difficult.