Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6C16971A186AD73015386E09736572BB6C0864ACE57061186F883EEBFDACB4EE1B150 |
|
CONTENT
ssdeep
|
48:pStC88DH3CXkDHRhDHWfsDHGXkDH3G2rZMDK4IBLZBaLBYHWcDID84TCHzh5gWmi:fSDuMmF4eT4WD/MEFzWa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e56431c6733934ce |
|
VISUAL
aHash
|
c3c3c3c3e3c3e7c3 |
|
VISUAL
dHash
|
9696969e0686969e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07201010000 |
|
VISUAL
cropResistant
|
9696969e0686969e,a58d5be3d290a8a2,a6a6cec9aa723635,9a867169696912a4,cc3196c4aaac6143,39ce5f7ceff79ecb,969d56545098b49c,b4b39535b4b5b555,33728cce8eccceaa |
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 79 techniques to evade detection by security scanners and make reverse engineering more difficult.