Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8235B726732B87843DB91EEB7392956F2D2489DF8C74450F5C95A8E23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:ao+EsZx8/G8m4ZDaw/MJBHw4MJBhwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:ao+EsZ/8BZDaw/MJBHw4MJBhwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf95c1f0e194c5c2 |
|
VISUAL
aHash
|
9d81818181818181 |
|
VISUAL
dHash
|
7171717561715555 |
|
VISUAL
wHash
|
ff999d998181b581 |
|
VISUAL
colorHash
|
31007000000 |
|
VISUAL
cropResistant
|
7171717561715555,b3e9f1b269f4d4d4 |
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.