Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11692D57892508A7B44D3C3ECFB62ABAB7296C29DDA87825DD6F9C25173C7C8CCC41194 |
|
CONTENT
ssdeep
|
384:1K1gcssplwGiQ6siVGbV7V7V7Vsh9WwSxjxDz2DrbNyDFuaOx9DYpP:M1gcssplIxWwSxjxf2DwD1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc46635ccc878db6 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
70ccb2b2b2b24c30 |
|
VISUAL
wHash
|
0000ff3cdfffc300 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
4c0c330b45070705,70ccb2b2b2b24c30 |
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 71 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)