Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155336C726731B9A883DB52EEF7382D4AB1C6549DE8CB4540F6C9969D13C7CC02287BB4 |
|
CONTENT
ssdeep
|
1536:a8+EsZ/8E5hDVRgMjBVRzMjB6DrpRXPZlQaQD9OehM+BrUgq4z:a9hR3RHDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf1ec0c0ce6372e2 |
|
VISUAL
aHash
|
fc9f878fbf8fffff |
|
VISUAL
dHash
|
49373d7d61180c00 |
|
VISUAL
wHash
|
808181818f8ff7ff |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
49373d7d61180c00 |
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.