Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F235B726332B8A883DB91DEF7382E05B2D2988DE9C74554F1C95ACD23C3C8426977B4 |
|
CONTENT
ssdeep
|
768:a0+EsZx8/G8sR4wDawTMIBUwbMIBowZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:a0+EsZ/8sCwDawTMIBUwbMIBowZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fad19191b59585c5 |
|
VISUAL
aHash
|
8f81818181818181 |
|
VISUAL
dHash
|
1909296943257155 |
|
VISUAL
wHash
|
fffdd18181819781 |
|
VISUAL
colorHash
|
39200030000 |
|
VISUAL
cropResistant
|
1909296943257155,78a828a893aaa292 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.