Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7A36B33411935274437C6D530A55B3BD2A68A5FFAE70A010EECD7FA2BF9C90B45B11A |
|
CONTENT
ssdeep
|
768:SCTP9XLz4NP3+mZY9svblTOCVrLgXzHr9qFtiuCa28y2OZL:jdLz4NP/y9svbliCdIkFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343d53a9c2d9c39 |
|
VISUAL
aHash
|
00600000000000ff |
|
VISUAL
dHash
|
c8cccce8cccd83f4 |
|
VISUAL
wHash
|
0cfe7070646560ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
c480a10030308080,c8cccce0c8cd8dc3 |
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.