Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160B222F29459D53B2672C6E9B3B2E64BFA418149C9C2414FD1F9E35C2FE2D71EC0A211 |
|
CONTENT
ssdeep
|
384:ZFCzCO3/hpuxT7S/p9hgX67MiFkTpPIBBl:i3/PQT7SRFMiFCkl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de5e6161617c5e84 |
|
VISUAL
aHash
|
80809c9cffffffff |
|
VISUAL
dHash
|
1b38303030303024 |
|
VISUAL
wHash
|
80809c9cfefedec0 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
1b38303030303024 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.