Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19FA37833411935274437C6D130A55B3BE2E69A5FF9A70A010EECD7FA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:WeiKVixeXLz4NP3+mZY9svblTOCVrV5t1A78B5q0crJTTVL:xLz4NP/y9svbliCdXA7s5q0oTTB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d384b4346d3ce5a5 |
|
VISUAL
aHash
|
067c7c3040440678 |
|
VISUAL
dHash
|
94ccccf0c88c0cd3 |
|
VISUAL
wHash
|
467e6c3860c40eff |
|
VISUAL
colorHash
|
38010001600 |
|
VISUAL
cropResistant
|
94ccccf0c88c0cd3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.