Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD33447113467A2F1083C1E1E755AB2AD3D6D605C73B4E46E7EC832B63CEDB49D2A118 |
|
CONTENT
ssdeep
|
768:oSY4i+YkcOpEgB9InQ+XteOIQUSeFdhY4i+YkcOpEgB9InQ+XteOIQUSeFdoS0kE:ES0pyeaWbm0vxTAa8q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ee7c3b018c698 |
|
VISUAL
aHash
|
ff839f9fdfffffff |
|
VISUAL
dHash
|
432e3434b054304d |
|
VISUAL
wHash
|
01011e1e5e1e9fe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
432e3434b054304d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)