Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D235A726732B87843DB91EEB7382916B2D2589DF8C74450F5C99ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:af+EsZx8/G8s4yDawdMJBjowUMJBjkwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqf:af+EsZ/83yDawdMJBcwUMJBwwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ae3fb191c46ec291 |
|
VISUAL
aHash
|
81018181ffffffff |
|
VISUAL
dHash
|
6d71717121000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
6d71717121000000,f8dcf1b2e8f0b0b0 |
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.