Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFA38B33411935274437C6D530B55B3BD2A6998FFAA70A010EECD7FA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:6WWLz4NP/y9svbliCdQFUWFtiuCa28y2O9:HImAa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d267fc32e938904d |
|
VISUAL
aHash
|
00602000000400ff |
|
VISUAL
dHash
|
8cccc4d8c9cc3df2 |
|
VISUAL
wHash
|
c0fefe28244e00ff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca55714d4d714d96,008081303000a000,8cccc4d8e8ccdc33 |
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.