Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121E2B871A1406B3F01A792CAB291A75A63E3C34ED74A046253FD472D1BF3D90ED2771A |
|
CONTENT
ssdeep
|
768:4cQewCt8DzeC7KMCFLwTQAHhZTBDX8Nczidi7LSqCUHbVj+S3GBHOCfa7sOy2+y5:4JCt8DzeC7KMCFLwTQAHhZTBDX8NcziO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d361f91a9d6992c1 |
|
VISUAL
aHash
|
000020000004ffff |
|
VISUAL
dHash
|
d8ccc8c8ec0cc300 |
|
VISUAL
wHash
|
006c70380e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08324c4c4d4c3204,0080800058988000,d888ccc8e8cc3cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.