Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14BA36933411935274437C6D530B55B3BD2A6DA8FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:9xcLz4NP/y9svbliCdcMRQFtiuCa28y2O9:2mAjq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8363fc3af428c347 |
|
VISUAL
aHash
|
00002000000400ff |
|
VISUAL
dHash
|
1c49cad0f8fdf3b8 |
|
VISUAL
wHash
|
00bf7b181c1f01ff |
|
VISUAL
colorHash
|
11010000e00 |
|
VISUAL
cropResistant
|
808001383800a000,1c59c2c8f0f9fd33 |
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.