Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B16354717902253622AF87CF926B170D22C1E3C9DD8215E9E6F4C7389BF6C90BB95670 |
|
CONTENT
ssdeep
|
768:g60CDlgviQVckyrD9VGg6LtQviutMQhjimGx+JSpVnYvXV0XoFtP/jSTsa0Z5Sd:p0CDlgvFKpVGfQRV5W4+d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9477c961279972c |
|
VISUAL
aHash
|
000000003fffc3c3 |
|
VISUAL
dHash
|
ccc24a08ffae2b2b |
|
VISUAL
wHash
|
02382000ffffc3df |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
fff0082b2b2b2b2b,4ecce26acac80dff,ca3a20caaa902840,4a2a8090a2aa8048,ca3208c8acaa0108 |
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 628 techniques to evade detection by security scanners and make reverse engineering more difficult.