Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137235BB26722B8A843DB91EEE7383D55B2D2589DF8C74410F6C95ACD13C3C846297BB4 |
|
CONTENT
ssdeep
|
768:al+EsZx8/G8C4/DawCMxBIowKMxBIBwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDv+:al+EsZ/8V/DawCMxBxwKMxBcw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb6b3a3a69c1c494 |
|
VISUAL
aHash
|
8181fff9ffffffff |
|
VISUAL
dHash
|
0b2b62131b280000 |
|
VISUAL
wHash
|
8181808081ffffff |
|
VISUAL
colorHash
|
07003000c00 |
|
VISUAL
cropResistant
|
0b2b62131b280000,4561909060888400 |
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.