Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170D13FB28008B83752A3C3DDB7B1A30BB792D585D993454A95FAD38D1FD3EA0DC13252 |
|
CONTENT
ssdeep
|
96:Dc/enPA2LySHUnoGyPs44mGjZzmtK4yYeySzPqUw5mzClPhUbTuGWVBrGo7uxcL4:wGFnFbO07scTBrd4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe7e5ca161616984 |
|
VISUAL
aHash
|
809c8080ffffffff |
|
VISUAL
dHash
|
3330340320202024 |
|
VISUAL
wHash
|
80008080c0c0c4c4 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
3330340320202024 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)