Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E234BB26322B8B843DB92EEF7382D45B2D6589DF8C74414F5C95A8E13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:a3K3s+EsZx8/G8B4xDawAMJBBow4MJBB2Ucix+y9dQpUDF1E56ITmHDLBABW8KPB:a3K3s+EsZ/8yxDawAMJBWw4MJBYUXx+q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af95959594c3e268 |
|
VISUAL
aHash
|
ff8d818181818181 |
|
VISUAL
dHash
|
797d454141494145 |
|
VISUAL
wHash
|
ffff81b181a1a181 |
|
VISUAL
colorHash
|
39001200188 |
|
VISUAL
cropResistant
|
797d454141494145,ffcc9ad3965dfdff,fddbc4c0c0c8d0c4 |
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.