Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126933AE6536CA3FA518247E8A232524B72F660F9BE52CF50C2E5C7C65B67CD8CC29C50 |
|
CONTENT
ssdeep
|
768:57tjx55h+BlcSOHpkjc5RQ1D7tjx55h+BlcSOHpkjc5RQ1/X3MjOVlVj5HW7hmt4:uuHNNuHNCR6SrLLetSIow |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1744c939bcc3371 |
|
VISUAL
aHash
|
9cc0c3ffe7efffc3 |
|
VISUAL
dHash
|
309696e4cdcd372b |
|
VISUAL
wHash
|
000042e7e7effbc3 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
309696e4cdcd372b |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)