Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1129332B13D036826309F62DF9117130D61D1D7C9D6536BD5AAF0D228AAF5DA0FFE2288 |
|
CONTENT
ssdeep
|
768:TbIez3uwHghnmhfs4hYEWeeqccoSez+gKqMWVSGI:3Iez3uwAJmps4/WTqcKg6/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a75b48a4db493ce2 |
|
VISUAL
aHash
|
0060002e2f072200 |
|
VISUAL
dHash
|
9cc89ecacee6c631 |
|
VISUAL
wHash
|
477f423e77077300 |
|
VISUAL
colorHash
|
30001000c00 |
|
VISUAL
cropResistant
|
2639929acaf061b1,9cc89ecacee6c631 |
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 770 techniques to evade detection by security scanners and make reverse engineering more difficult.