Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2134A726732B86843DB91EEF7383946B2D6588DF8C74414F5C96A8E23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aQ+EsZx8/G8+4mDaw5M/BEowAM/BEk7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDd:aQ+EsZ/8pmDaw5M/BFwAM/Bb7UXx+y94 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb7bc0c43a91946e |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
5959595945000000 |
|
VISUAL
wHash
|
8181808081ffffff |
|
VISUAL
colorHash
|
1e402018000 |
|
VISUAL
cropResistant
|
5959595945000000,8000040c0c100080,99999aa79a988584 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.