Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D85174317114A43FD13E4F996770D36A1027DB4AC5AB9924AAF497E723C0DC4A8238FC |
|
CONTENT
ssdeep
|
48:TxYqJsji5iasdNMbWZ8uFD7+TzV8uFD7+aK8uFD7+6n7dInQ4:TmhQiaiOWZuTzVuJu6eQ4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f87ad2942ba47478 |
|
VISUAL
aHash
|
c0fcc00301ffff00 |
|
VISUAL
dHash
|
282920cb0ba6b249 |
|
VISUAL
wHash
|
c0fcc00303ffff81 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
e8969696969696e0,5031f4444bcad455,d93ba7919499a5a4,71ccb2b2b2b2cc71,4013b5dc4bca9854,599ba7a69c9ca4a4,d6ca3a5640229adb,282920cb0ba6b249 |
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 56 techniques to evade detection by security scanners and make reverse engineering more difficult.