Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13372F9F10668237E828F83B8B5167799E2AEF57EF2774010D6AD07D81AC3C42ED67640 |
|
CONTENT
ssdeep
|
384:MC8r1KKD1DJ0VzpuqmALrwXJDnS7/Jw12ffIG:MCwDdEq1M/JwjG |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)