Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A992523933481324192714D295A532DAF73AF27C3A531DE0B46AC569CBEEABFB031E54 |
|
CONTENT
ssdeep
|
384:FgkWDJas088EAQyYr5xOp1l4kj6+qi2KsaLG:FgkWDJd088EAmGLLqPNaLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9c1963cc3693c96 |
|
VISUAL
aHash
|
ffff81c18181c3ff |
|
VISUAL
dHash
|
02330f13130f3700 |
|
VISUAL
wHash
|
ffc381818181c3ff |
|
VISUAL
colorHash
|
17030000080 |
|
VISUAL
cropResistant
|
02330f13130f3700,e30b0733330f3737 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)