Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AE2B7A7210822D5C2F38FDC981065547147EB5FC9614370C3F84E7AA7E7AA5B288E7E |
|
CONTENT
ssdeep
|
384:phqRrnfnzjsnzjTsb4Z3s3xt8KlJ8FBOobO0vsFijYK/M94UZh3gl4oyO9gKh6v0:Uf/s/wbS3utnl1ohs4jY7yUjJoH9g70 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b7dc25d229d2258d |
|
VISUAL
aHash
|
ff1fffffffffe400 |
|
VISUAL
dHash
|
8620783c16090d37 |
|
VISUAL
wHash
|
ff008f8fffe70000 |
|
VISUAL
colorHash
|
0e000000180 |
|
VISUAL
cropResistant
|
060c320400000000,207c381ca20d0d37,0000000000000000,1717063336061610 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)