Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A33B573404A243712AFE6C6E6697349A35AE147CB0A17E193F643BC5BC2F60EE7211D |
|
CONTENT
ssdeep
|
768:FmYhDSiOE+DEqaIfhyrEsjYAsszesV47JEfqtlrN:FmYhDSmQEdIfhgNYyzLfqtD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c124db3eb9d164c9 |
|
VISUAL
aHash
|
0220624600007c7c |
|
VISUAL
dHash
|
9ee5c6942ee4d8d8 |
|
VISUAL
wHash
|
6e76726707007c7c |
|
VISUAL
colorHash
|
30006008000 |
|
VISUAL
cropResistant
|
fefebeee3b6ffefe,37f0c8c8f0f0f4f0,e06ed49cc0037969,18b8f2e694d0d3c4,9ee5c6942ee4d8d8 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.