Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2C2C7327110363B42DBD2D9B372A31EA3A39249D747081692FD83AD4BE7D55DA33236 |
|
CONTENT
ssdeep
|
768:cScy5NrQV3QLbBJ0DNq6Hf07sOy2+y9BH4crIe:mV3QL6H87sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361b43add29d1e1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1cc4c2e2c8cdc300 |
|
VISUAL
wHash
|
00f7f0303004ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
008080024c888000,9c84c6c2e0c8cde3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.