Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CF14D6B27548343A209F63CEF286671CA2C3F3CACB001ED5A3F59375D9A5DA1B9E4245 |
|
CONTENT
ssdeep
|
3072:01x4/X1TgXjmPHzAItEo781bVjmP6vtN9C4n9HCIiee57kY:01x49TgXjmPHzAzF7jmP2C4fiee57kY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c51ebfc1942e6b14 |
|
VISUAL
aHash
|
000000007effffff |
|
VISUAL
dHash
|
684413cccceb6f16 |
|
VISUAL
wHash
|
000000227effffff |
|
VISUAL
colorHash
|
070000180c0 |
|
VISUAL
cropResistant
|
0000047071710420,0000104444500040,eccccc634b6e2896,000000092c0e0f00,00008013cccccccc |
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 242 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)