Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5235B726332B47843CBA1DEE7392A46B2D2989DF9C74554F1C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aH+EsZx8/G8qH4vDaw6MIB4wGMIB0wZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:aH+EsZ/8qYvDaw6MIB4wGMIB0wZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d972e648d9f24cc8 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
8d48294cb2320c00 |
|
VISUAL
wHash
|
ff000000183cffff |
|
VISUAL
colorHash
|
3a031000000 |
|
VISUAL
cropResistant
|
00000c0c0c080000,8248104d4d142082,0000000000000000,814028280c3ab230 |
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.