Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A33603650006A7B02D382C277F53B5FA3D6D246C76756AB67E8830C07DBE80DD35AA6 |
|
CONTENT
ssdeep
|
768:EtbemIL+IZl0sJJDjVZd/PtrlWJU5C2UmwHsoyPXF3lPAqCKk2q:Q7IL+InTYW4DMoyPV3xAqO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f648c9369136cb39 |
|
VISUAL
aHash
|
f0f0f0e6868686fc |
|
VISUAL
dHash
|
6424242c2c2c2c10 |
|
VISUAL
wHash
|
f0f0f0e6868686fc |
|
VISUAL
colorHash
|
03000008030 |
|
VISUAL
cropResistant
|
713013333333370c,84d0c6c474646458,6424242c2c2c2c10 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)