Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B01240F1D054ED37072286D5B7B67B2F76A2C344CB020E5453F863AA57CECA1CA229D9 |
|
CONTENT
ssdeep
|
96:Tkfmpz8S04STeEWhUSPRWJVv38tGwAzAzA5UFsKXgHFcWXaHFkGXSX/5YUSTyGAe:Qfmpz8S0xscJhstGH6eXBOs8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
db9b7646fe037400 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
68fb79717008c020 |
|
VISUAL
wHash
|
acffffff1d000000 |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
5069717179697970,7d5d5dd4dceeee6e,4949404141404242,0000000000008020 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.