Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D3393B643462A2F005345E2935CAA3BD3C6DA8DCB639F47E7F8C36751CAEA09E31154 |
|
CONTENT
ssdeep
|
1536:1UeBJq8FMa0pyeaWo3EBLcB0vxTAa8A0EB:1UeBJZ4pyeaWo3EBLc270EB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3b01896b8 |
|
VISUAL
aHash
|
fb939f9fdfffffff |
|
VISUAL
dHash
|
cb2e3531b5f51d4d |
|
VISUAL
wHash
|
00001c1c5f3fffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb2e3531b5f51d4d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)