Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133C29671A100263B1157D3CD7721F71EE2D39289D64A0A1562F983AD8FE7EE0DE2352A |
|
CONTENT
ssdeep
|
768:KKe/y5NXekT1gFWyQE7sOy2+y9BH4cLIe:L+FWe7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367bc389949c792 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
044ccecacccdc300 |
|
VISUAL
wHash
|
00f6f2602420ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940ccccec8cccdc3 |
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.