Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135233A726722B8A883DB91EEFB3C2D46B2D1589DF8C74450F5C95A8D13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ae+EsZx8/G8PRF4JDawyM2BfowJM2BfRCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvu:ae+EsZ/8JOJDawyM2BAwJM2B8N2/y9dv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea319e9593879790 |
|
VISUAL
aHash
|
c3c1c1c1c1c1c1c1 |
|
VISUAL
dHash
|
0707170717070701 |
|
VISUAL
wHash
|
fbc1c1c1c1c1c1fb |
|
VISUAL
colorHash
|
090000001c0 |
|
VISUAL
cropResistant
|
0707170717070701,134a646441484880,0616060606868682 |
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.