Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CA37A33411935274437C6D530A55B3BD2E69A4FFAA70A010EECD7FA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:xMYLz4NP/y9svbliCdcIZgFtWAuCa2PX2ZP4:7mA3Ih4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d306943aad36e4b6 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
ecc8ccc0c8c8cc00 |
|
VISUAL
wHash
|
067c34302064ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
cc1c001c0030b880,9cc9cce4c0c8c8cc |
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.