Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18632C834E254663F029783C4F790277922CAC29DD75102A4F6FD87792FE2DE8E8625D1 |
|
CONTENT
ssdeep
|
192:k94ZqJEZALpuAXtpuAXjpuAX8+r/4GdsBJBPimfXP5kwr:k94sJsAVuAXjuAX9uAXr/4KgiE+wr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d8c3627a59d98b5 |
|
VISUAL
aHash
|
ff181818c3000000 |
|
VISUAL
dHash
|
9631323296904000 |
|
VISUAL
wHash
|
ff181cdbfff80000 |
|
VISUAL
colorHash
|
38001000680 |
|
VISUAL
cropResistant
|
0000584c4c081000,9631323296904000 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.