Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109E2D932B0003A374197D3DD7361B71AA2E7924AE6470449E1F9C3BD0BE7D54EA3B61A |
|
CONTENT
ssdeep
|
768:vSky5Nl5zj8lyU6QvI7sOy2+y9BH4cLIe:KBV7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361bc18ed2ec1b3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
92ccccc2cadccc00 |
|
VISUAL
wHash
|
0064e670203cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,928cccc2c2c8dccc |
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.