Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10783FA927300A5BE14C781FA761F752D9350D6CAE6639587E4FC82352B93EF1EE2A340 |
|
CONTENT
ssdeep
|
768:vKa1+rdCQQJQ1A4c/+SXxLHqYpr9ZrwSKZS/6S8SHXMrkLMooYM6xOwjmEQ:Sa07ON8AY3Yc+4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9e732b09899c9f0 |
|
VISUAL
aHash
|
ff00181818180000 |
|
VISUAL
dHash
|
2344b2b2b2b23030 |
|
VISUAL
wHash
|
ff30783c3c3c1c0e |
|
VISUAL
colorHash
|
31000000180 |
|
VISUAL
cropResistant
|
888e96aa17338c8e,2344b2b2b2b23030 |
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 950 techniques to evade detection by security scanners and make reverse engineering more difficult.