Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138E2837261446A3B02D7C3D9B370772EA2D3824AEB83062653FC875E0BD7E50DE63526 |
|
CONTENT
ssdeep
|
384:pea8jaDIbNj111w1IxnGx8un86JbkSCbuLqOYFHs4dnq/nZIYsOy2+y9BH4cCUIe:pea8XjxtSCcZ7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247b412ed3895ed |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
ccccc0c8cccc8d00 |
|
VISUAL
wHash
|
04fc7030040effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e18e8686c1c3c3,0880880458988000,cc4cc0c8c8cccc8c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.