Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129926134241B2E764EBBE4C1E265BF3530DAF30FC219E988A6A851544FFBDB5B920171 |
|
CONTENT
ssdeep
|
384:3xplSL4ovb4xctccmjLwN+3p6rlj4Ldlji5dlj8Fdlj5I9:3pSUovb4xETqLf3p6rlj4Ldlji5dlj8s |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
85267ad9598908ff |
|
VISUAL
aHash
|
000066ffffffff00 |
|
VISUAL
dHash
|
110dccd0808000aa |
|
VISUAL
wHash
|
000000ffffffff00 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
110cccd082808080,0088aaaa0880aaa2 |
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 56 techniques to evade detection by security scanners and make reverse engineering more difficult.