Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1234A726332B87843DB92EEF7382D46B2D5489DE8CB4410F5C95A8E23C3C816193BB4 |
|
CONTENT
ssdeep
|
768:a/mY+EsZx8/G864QNDatYM7BqtvM7BawZUcix+y9dQpUDF1E56ITmHDLBABW8KP4:a/mY+EsZ/89QNDatYM7BqtvM7BawZUXQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac2cd3929296c7c7 |
|
VISUAL
aHash
|
c3818181ffffffff |
|
VISUAL
dHash
|
2b33233b37000a00 |
|
VISUAL
wHash
|
0081818181ffffff |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
2b33233b37000a00,7fbff3a3afd3f77f |
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.