Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2C2A832A400273F1197A3C9B761F35ED2D3528AD68A091693FD835E4BE7E60DE3351A |
|
CONTENT
ssdeep
|
384:y9e/y5NyZekbhJ23xljtMHMv7rYouB9xqkDxZyDTfIYsOy2+y9BH4cCUIe:We/y5NyjonDuBMv7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367bc389969c38c |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
044ccccaccccc300 |
|
VISUAL
wHash
|
00eef6602400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944ccccecaccccc3 |
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.