Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16EB2097792C035190593A291FB80B99FC93805AC92319614DDAF85A1A3DD8FCC1BBBFD |
|
CONTENT
ssdeep
|
384:/8j78jaW8jSQb4rUxUkSXsmcsPh+m9kOZBTDlu0lzPVib+diMiUhBNQQHtQHrrOh:/8n8eW8eQb4qUxsZU+RO7TpDiUhjQYGk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94b66c4969dacaca |
|
VISUAL
aHash
|
0007ffcf003c0000 |
|
VISUAL
dHash
|
170cdc9cd3c0f0b4 |
|
VISUAL
wHash
|
01efffef207e1010 |
|
VISUAL
colorHash
|
38000400050 |
|
VISUAL
cropResistant
|
170cdc9cd3c0f0b4 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.