Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5231BF1A31492FB658B8FF9F130AE9D766F10DDAA53491CC2DA86D057D1E88CE489C0 |
|
CONTENT
ssdeep
|
768:a20C6CMsqYgVD/rieJQZ57Q76inPFG/Hz5NZm9jmiFd:T0C6CMsqF5ieJ257Q76inPFG/Hz5NZmv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6644e8e9b993931 |
|
VISUAL
aHash
|
f7e3c3e7ffffe781 |
|
VISUAL
dHash
|
0686861e0c0e0c4d |
|
VISUAL
wHash
|
c3c3c3c3c7e7c700 |
|
VISUAL
colorHash
|
07031000040 |
|
VISUAL
cropResistant
|
0686861e0c0e0c4d,8296a6b5b3367a7a |
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 348 techniques to evade detection by security scanners and make reverse engineering more difficult.