Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AA937231A5048837818B47C9D3B2675563A9C386DA630598F6F0C3BD0FBBC9ACE77691 |
|
CONTENT
ssdeep
|
1536:4es2RM3lLstmYoQpM8/j7TWv7HfK2r0GyYhFt5NehNTwrWN:4eBmYoQpM8/j7iDHfK2r0Gy4Ft5yNiY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3813ec58e3ca3c3 |
|
VISUAL
aHash
|
0360607078600081 |
|
VISUAL
dHash
|
2fd0d0c4c4cb3241 |
|
VISUAL
wHash
|
a70160fcffeb8181 |
|
VISUAL
colorHash
|
38000030040 |
|
VISUAL
cropResistant
|
2fd0d0c4c4cb3241 |
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 85 techniques to evade detection by security scanners and make reverse engineering more difficult.