Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12392E270B091A67B81E3B2C3A67A5F2B33E28296DA17020553FD83AC4FDFD44ED52552 |
|
CONTENT
ssdeep
|
384:xMD9N5SptIIF6KLKmM2Kdff1vc1wpgiVwTqU:iD9N47IIYKWrLdfNvc1wpgQcqU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
becac10f3a680ece |
|
VISUAL
aHash
|
b9ff9d8f8f99f9ff |
|
VISUAL
dHash
|
29c42d3d3d6b9338 |
|
VISUAL
wHash
|
bdfe94868488919f |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
29c42d3d3d6b9338 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.