Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166E2AB72F110BE3741A7D1C6B2A1672A62E3434FE6860516A3FD83ED17E3D14DB27129 |
|
CONTENT
ssdeep
|
768:veKLEjV/GFaax5L4N+rH4c7sOy2+y9BH4cLIe:3EVix5L46H4c7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d305b43cad34e587 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccccc0c8cc8c00 |
|
VISUAL
wHash
|
467c64302044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4ccccc8c0c88c8c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.