Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5A38A33411935274437C6D130B55B3BD2A69A4FFAE70A010EECD7EA5BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:JSjy5NYlvLz4NP3+mZY9svblTOCVr20xg0pN3FtiuCa28y2OZL:ivLz4NP/y9svbliCdrFFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9265fc32ed1e9069 |
|
VISUAL
aHash
|
00600000000400ff |
|
VISUAL
dHash
|
8cccc4e0d9dc3db2 |
|
VISUAL
wHash
|
c0fefe20444f00ff |
|
VISUAL
colorHash
|
310410002c0 |
|
VISUAL
cropResistant
|
ca55714d4d715596,008081303000a000,9cccc4c0c0dc8c33 |
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.