Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A530A102201779A2C330FB4F38A31A6D1DED784F6E6646E7298838136C717AC757DEA |
|
CONTENT
ssdeep
|
1536:2m30wA3wnH+ARy6o3E4tu2PSaqDZ7U1c/IkYJ7bdUeqOchTsyNEjidMVK9PE:3JYJ7nGo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b232cdcd3330ce66 |
|
VISUAL
aHash
|
efffc7c7c7ffffff |
|
VISUAL
dHash
|
0d1e8d9d8d061e1e |
|
VISUAL
wHash
|
81c3c7c7c7c3c383 |
|
VISUAL
colorHash
|
07400008080 |
|
VISUAL
cropResistant
|
0d1e8d9d8d061e1e,94a3cccdcc8d8d52 |
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 428 techniques to evade detection by security scanners and make reverse engineering more difficult.