Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122636BEBB880B91205B351D6A0BB6D03733E450B341D88B0EA58DF9FB5E4865A077BD9 |
|
CONTENT
ssdeep
|
768:2ET0TQH7YFQ6gWbpCsZH8wlCjz3UvO6oDlXz7M9JYl9Uz8yyzEVzc+b42NB2jIG7:2RgWbpfp8ukYvFEzoKQzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96b6e569e05ce119 |
|
VISUAL
aHash
|
460f7fff000010ff |
|
VISUAL
dHash
|
94ec8cecc9c2f1c2 |
|
VISUAL
wHash
|
460fffff000010ff |
|
VISUAL
colorHash
|
30000080006 |
|
VISUAL
cropResistant
|
94ec8cecc9c2f1c2 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)