Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162235B726332B87843DB91EEF7382946B2D29889E9C74554B5C85ACD23C3C907297BF4 |
|
CONTENT
ssdeep
|
768:aM+EsZx8/G8mL40DaweMIBEw7sMIBYwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqf:aM+EsZ/8mk0DaweMIBEwwMIBYwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea9527d99cc4b6c0 |
|
VISUAL
aHash
|
8781818199818181 |
|
VISUAL
dHash
|
274d4d6131295301 |
|
VISUAL
wHash
|
ff8fc1f399818181 |
|
VISUAL
colorHash
|
1b007000000 |
|
VISUAL
cropResistant
|
274d4d6131295301,729d8aa231499301 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.