Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135234A726722B8A883DB91EEFB3C3D46B2D1588DF8C74450B5C95A8D13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aW+EsZx8/G8fRF4SDawCM7B4wWM7Bhr82+/9dtZkDieE565TmHEnkvdhfVPqDv3w:aW+EsZ/85OSDawCM7B4wWM7Bd82+/9dr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
afbce4c3e094c591 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
7d7971754d51514d |
|
VISUAL
wHash
|
ff8181818dbdbd81 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
7d7971754d51514d,b3e9f1b2ccd0d0cc |
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.