Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C9102F190D96D374227D0C3A696631631C39A0FDE9B1B09D3FC13D813E9C4BB82A519 |
|
CONTENT
ssdeep
|
48:MuphNmTNMlkc/ZsKOCWMS6IYLcAHbGnlo9gEgwf6VklGhdhaSSK6QkVPk7u16M:MuwAKMS67cA4iV6VklKdhGKPkpkq16M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666594c5d59594c |
|
VISUAL
aHash
|
00e7e7e7e7e7e7e7 |
|
VISUAL
dHash
|
4d0c4d4d4d4d4d4d |
|
VISUAL
wHash
|
0000000000000000 |
|
VISUAL
colorHash
|
06000008180 |
|
VISUAL
cropResistant
|
4d4d4d4d4d4d4d4d,00102c32b2300800,7027565399626779,4dccb2924dccb24d,4d4d92b24dccb24d |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.