Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176921AF1166C237E428B83E97626778DE2A9F16EF6770050D6ED43A81BC3C42ED27640 |
|
CONTENT
ssdeep
|
384:MC8r1KKD1DJ0VzpuqmALrwXJDnS7/Jwz2ffIgdlevxGCB0F8:MCwDdEq1M/JwVgqb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4383898d367c3c7 |
|
VISUAL
aHash
|
8783e3e3f3e7f3e3 |
|
VISUAL
dHash
|
3e362606c6cee646 |
|
VISUAL
wHash
|
030303e3e3e3f3e3 |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
3e362606c6cee646 |
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)