Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104E2B731A048693F06A773C1FBA2A35BB2D7438CD947472A82FD874D0BCAD90ED17995 |
|
CONTENT
ssdeep
|
384:Y6XfIIVijIIIII95lBVNN0iv1/lTAY2+s9SetDTTLfbpW:/XfIIGIIIIIvys1/FV2+s9SeO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37c1c183963d6 |
|
VISUAL
aHash
|
00e3e7ef7f3c1818 |
|
VISUAL
dHash
|
87cfcbdbe5e1f0f0 |
|
VISUAL
wHash
|
00e3e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c988c0c,0002e4ccc4400000,87cfcbdbe5e1f0f0 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)