Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCB3CC7030289EB786CBD9F9E2B98B0B32D5C309C607964492FD83D90FCBC95CE65665 |
|
CONTENT
ssdeep
|
3072:XlMiO4m7BrKrG0BM9oqDPV8xaQlCyEUxVW:Wh4m7BrKrG0BM9oqDPVKaQlCyEUxI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3333cc66999966 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
0c3032323232320c |
|
VISUAL
wHash
|
303838383c3c3c34 |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
0c3032323232320c |
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 53 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)