Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C4173702011893BAA87C5CCB6E86B4635828104CB971F087BFD97EC67DDC9BED12294 |
|
CONTENT
ssdeep
|
48:TcpQ3wycpctRus53owgtM6o466P2Lbi+Lpukp6k8kOL:TlJ+u3ojMyCi22ii |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
803b5d67272e8d8d |
|
VISUAL
aHash
|
086c7d647c7c7c7c |
|
VISUAL
dHash
|
d098b18dada4a4a4 |
|
VISUAL
wHash
|
006c5d647c7c7c7c |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
d098b18dada4a4a4,f0c6c0c0c0c0c0c0 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)