Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A63652C5F231378B143A6E8A5015A247B4ADF3E13A94AB5D7898F75F9C2C6CC8319D3 |
|
CONTENT
ssdeep
|
1536:apzmgAj3/4Rcj3/4RJelMH7BybByUuSCRnacLf38Lf9sLfpMLfdeTzhBeC3D:aZIbIUW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
880d29f6a6a3d4af |
|
VISUAL
aHash
|
1b181818ffffed99 |
|
VISUAL
dHash
|
133310b22c240955 |
|
VISUAL
wHash
|
13181800ffff8f99 |
|
VISUAL
colorHash
|
380010400c0 |
|
VISUAL
cropResistant
|
133310b22c240955 |
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.