Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B73B832D256140390AB85C9F1624B4A73918789C7134BB567FC27BAFECECB57722398 |
|
CONTENT
ssdeep
|
1536:AO04ye9JX+dPUgOq6Vytf1+cWa5w7SRKFoeUOUxezOOSCeNHIzpMW7pwIeeqIcRE:7y2OdPUgOq6woltOFjQhk222I222222I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e93c3ccc33938cc6 |
|
VISUAL
aHash
|
c181fbefebfbfbc3 |
|
VISUAL
dHash
|
0b2793dadab2f29a |
|
VISUAL
wHash
|
818149cbeb58fbc3 |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
0b2793dadab2f29a,88c0c8cc2463c7c5,4b433198d8d08d4d,6f6b392b2b3323d8,9593e33ce0f080e0,256caca785842667 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.