Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172D13EE1C415ED37471286D9ABB66B1B72D1C35ECB021840D3F883AB67CACA0DB255AD |
|
CONTENT
ssdeep
|
96:TkDUjzeRNeSTgGpGyt7zfMlbwvFZeJXdHFDehX7z/stY3kPk8J:QDUjzePkGpGyxf4fgdzgdPd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c3663494937375c |
|
VISUAL
aHash
|
009f919bdbdbe7ff |
|
VISUAL
dHash
|
80233332b2320c10 |
|
VISUAL
wHash
|
00001119d8d8c0c0 |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
80a280a2a280a280,80a280a2a280a282,80233332b2320c10 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.