Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3C29872A100263F11A793CDB321F32EE2E75689DB4A092552F4835D4FE7DA0DE2361A |
|
CONTENT
ssdeep
|
768:me/y5NoSAlNOg/LCU/R7sOy2+y9BH4crIe:sObLxp7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc389949c386 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
144ccec2cccdc300 |
|
VISUAL
wHash
|
00f6f2602420ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cccc6c8cccdc3 |
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.