Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B13FE306800ED3701DBA9C961769B2661F58389C6231689FAF8C7F95BEFC6CCA73514 |
|
CONTENT
ssdeep
|
768:l16K2NcmsIx/jpqQ1C1e1h3kTHeS1tjhw6p2aLL6pq0wUf79F:lcK2NJsIxlqQ1C1e1h3kTHeS1tjhw6pi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8b933a5ce3c5389c |
|
VISUAL
aHash
|
660c1e7938181801 |
|
VISUAL
dHash
|
dc59facaf1f0f2b3 |
|
VISUAL
wHash
|
ff0c1e7b3e383801 |
|
VISUAL
colorHash
|
39007000000 |
|
VISUAL
cropResistant
|
253371594dab0d4d,5949cfcb35755f2f,dc59facaf1f0f2b3 |
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 73 techniques to evade detection by security scanners and make reverse engineering more difficult.