Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117A3CC238119352B4437C2C434796F3BD1A6994FFEE60E414EDC8BFA6AF9CA0745A219 |
|
CONTENT
ssdeep
|
768:DYtpR4nXF6YjOpSpFlTC6rrZpyK5tz14esha5sn2SX:DYtpR4nXBKpSpFl26vCKF4T8GtX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9202ec6ded1353c7 |
|
VISUAL
aHash
|
00003c0c0000ffff |
|
VISUAL
dHash
|
b1e5e9e96938b804 |
|
VISUAL
wHash
|
18353c3c2400ffff |
|
VISUAL
colorHash
|
1b006000040 |
|
VISUAL
cropResistant
|
020080e060600042,0200006060600042,020000e060600042,820080c0a0800082,7006c02e37182666,b1e5e9e9c969f9b8 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.