Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19AA35A33411935274437C6D130A59B3BD2A69E9FF9A70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:teXy5NJLeOKVfNGLz4NP3+mZY9svblTOCVrPL0nlCL:3LexALz4NP/y9svbliCdPL0A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3f3dc3a0d29c331 |
|
VISUAL
aHash
|
c0fe7e20242401fc |
|
VISUAL
dHash
|
0c4cc4c6cccd9760 |
|
VISUAL
wHash
|
c0eeff322c2001ff |
|
VISUAL
colorHash
|
30e00008000 |
|
VISUAL
cropResistant
|
0c4cc4c6cccd9760 |
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.