Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12DA37933411935274437C6D530A55B3BD2A69A8FFAE70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:xneXy5NIGBxPLz4NP3+mZY9svblTOCVr34hOQlWFtiuCa28y2OZL:FPLz4NP/y9svbliCdOAFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c366fc3a9968c50e |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
044cccc6c8ccc398 |
|
VISUAL
wHash
|
c0eef660242079ff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0300a08138188090,940cccc6d8cccdc3 |
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.