Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3C1970FF21C72684F6201E56BD097BEFAAF40FC724216C8759DC13E36D49DA44BA691 |
|
CONTENT
ssdeep
|
96:TvuE7YUmC2KnDd2feSgXB/YealZCjsVuMZrr69FZBrjhCAPb6eaIRHrmc4:hxmelLpo4Zmj1G4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf1d41431e1e3a72 |
|
VISUAL
aHash
|
00fb9f9fffffffff |
|
VISUAL
dHash
|
32433333632bcbc7 |
|
VISUAL
wHash
|
00bb83839383eff3 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
433333636b2bcbc7,00200c3030140000 |
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)