Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A232EB16146193B868791C9FF74AB4DE1C7930BCB220C09B7F2864A9FC2E54FC59661 |
|
CONTENT
ssdeep
|
768:06uZ8fPZ8fvliXL1cpXTtPxVUfpIOZ7viJBJBse+fZHzaDbcduhsty0gKIBKen8v:BLoxVjk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfbc5e40d8416363 |
|
VISUAL
aHash
|
12ffffffff000000 |
|
VISUAL
dHash
|
34264e566eccc444 |
|
VISUAL
wHash
|
02bfffffff000000 |
|
VISUAL
colorHash
|
1e400030000 |
|
VISUAL
cropResistant
|
36366e4e5e5776af,0b4494e4e4942262,1f2f6f3fbf7d373b,26ccc8c4c8e44448 |
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 90 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)