Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18DC27631A040363F018793C9B351F72EAAD3938DDA4A091952F8935E4BE7D90DE2396F |
|
CONTENT
ssdeep
|
384:X/e/y5NfZUX02V3N0jtMQZtgaAOPACt+2sBIYsOy2+y9BH4cCUIe:Pe/y5NfivUxAP7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c366fc389949c786 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
144cc4c2ccccc300 |
|
VISUAL
wHash
|
00fef6600400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944cccc6d2ccccc3 |
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.