Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6234A726322B87843DB91EEF7382916B2D6588DF8C74514F5C99ACE23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:a2+EsZx8/G8B4PDawEMDBUwzMDBowZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:a2+EsZ/8yPDawEMDBUwzMDBowZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e2eb53f8e848fc0 |
|
VISUAL
aHash
|
818191bdbdbdffff |
|
VISUAL
dHash
|
4533616969690600 |
|
VISUAL
wHash
|
818001999999ffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
4533616969690600,8668716969696969 |
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.