Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140C2A871A240263F028783C9B761B76EE2E3D24DDA4A591553FC835E4BE3E54CD23A1E |
|
CONTENT
ssdeep
|
768:KSCy5NDHB2BjOj5b1Xq1sUhR7sOy2+y9BH4crIe:FB08qme7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9323f53af528c4c5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c48c0d0f9f9bd00 |
|
VISUAL
wHash
|
002f3818081fffff |
|
VISUAL
colorHash
|
11018000600 |
|
VISUAL
cropResistant
|
2080802058d08000,1c5848f0d0f9f93d |
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.