Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104E2CF54C0F259BA412FBE71E77CFF151CAB87A3C2EE27E916EC41800742C6A8D1356A |
|
CONTENT
ssdeep
|
768:8S3rWgZ3r/KCLPXykj4w0x88h1LnH3rGNcros:agECLvykMw0x88jnFH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af1ef06c17c2e093 |
|
VISUAL
aHash
|
bf9b9f0f0bf1fbff |
|
VISUAL
dHash
|
2533337777230322 |
|
VISUAL
wHash
|
9f099b010191fbfb |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
2533337777230322,30821c730e73cbad,894ad6b6f6bd0d6a,000c606171320400 |
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 68 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)