Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179822131A14CDC3B4687C7D8AF606B2F219B8394D68B0B0193FDC7AE9AC6D44EC55269 |
|
CONTENT
ssdeep
|
384:t9/eYhZ+3IITenUneuOsMYhZppenUnib5+R9B8abHGzZ:t9//o3IIxlvQKzbSZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd5da66049b7b488 |
|
VISUAL
aHash
|
0000181818ffffff |
|
VISUAL
dHash
|
14323232b2b200a0 |
|
VISUAL
wHash
|
0808181818ffffff |
|
VISUAL
colorHash
|
07240010000 |
|
VISUAL
cropResistant
|
14323232b2b200a0,1c0c03030610c121,041e1a185e5adacd,54159d9a9d9c188c |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)