Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD33B7B3431C12BF166302E89A08276FB152458ED71616E9F4B9C2D923E6F7158F27CB |
|
CONTENT
ssdeep
|
1536:Bq/dBI4WwpPjWJzNnxIgCd8ZZalHcFDm4/:QAcPKlNnxxCd8nalK/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e849969707e9a9b8 |
|
VISUAL
aHash
|
ff00000000ffffff |
|
VISUAL
dHash
|
c423ab0bffbf2425 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
c423ab0bffbf2425,13512c6631202020,80aa82b6be80a280,84a42bab0b2387ff |
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 932 techniques to evade detection by security scanners and make reverse engineering more difficult.