Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A02B6A2D424DD330B1286D9B7F67B6BB662C749CB030D9062F4836E67DEDA0C71588D |
|
CONTENT
ssdeep
|
192:jaMH9j9TNrjjjYb+nz8Rk2Ih0yrkLyYMtRJm9XHP8F:jaMdBljjjYb+z/bh0CkLLMtROP8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3ac1c4c4fc3173 |
|
VISUAL
aHash
|
ff878787ffffff7f |
|
VISUAL
dHash
|
001c1e3e2c1008c0 |
|
VISUAL
wHash
|
ff878381878f003f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
001c1e3e2c1008c0,0000109888000000 |
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 81 techniques to evade detection by security scanners and make reverse engineering more difficult.