Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12212AB342001596F22731FC97DA2A7CA61CBE30FCA4B97245AE853861FD7DA4BC71B25 |
|
CONTENT
ssdeep
|
96:CDW9MfiJdhNirkZJsfNWBEdXUTCZWjNTy+gZuLv9uh417zM/xStGufo5q7zMMxRE:CDW9BC9XZF90c8D5zisPHJmR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc99778888d97726 |
|
VISUAL
aHash
|
1818181818181810 |
|
VISUAL
dHash
|
b2b2b2b3b3b2b2b2 |
|
VISUAL
wHash
|
3c3c181819181818 |
|
VISUAL
colorHash
|
301c0000000 |
|
VISUAL
cropResistant
|
02303000808080b2,b2b2b2b3b3b2b2b2 |
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 66 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)