Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6C28731A000273F015BD3CEB721F36EA2E3A289D6861D1593F9939D8BD7D50ED2352A |
|
CONTENT
ssdeep
|
384:fVe/y5No6wMCU32RieE2vsQ5VQBqIH39Njo7DcI0TobkIYsOy2+y9BH4cCUIe:te/y5NouChbm3fVF7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c366fc389969c386 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c4cccc2ccccc300 |
|
VISUAL
wHash
|
00eef6602400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,844cccc6c2ccccc3 |
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.