Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC534B73F6193E7D53C741EEFB385A92B3C1849CD5464064B99CD2AD23C2CC2A287BA5 |
|
CONTENT
ssdeep
|
1536:aI+EsZ/82eVKyCOpDTEe+w4MJBkwTMJB4wZUXx+y9dQyDF1ZAU84HaXwI:ahzylUwQwNUUXxpDzHy7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf26c0c8c0d365ed |
|
VISUAL
aHash
|
ff8703879f8f8f8f |
|
VISUAL
dHash
|
a82f4f4d333f1e0f |
|
VISUAL
wHash
|
ff0703871f810f87 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
a82f4f4d333f1e0f |
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.