Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157A13F66DE5945A2B214C33475EABBCCE25832078302ED70F784324A858BEB5CFAE315 |
|
CONTENT
ssdeep
|
48:lZNvnCQFfSFwZsLJuuT505V5Rn5W5y5T35h545Uu5VWmsjduiLf8SuxPhiu5YHFU:QQrCSdlhAdPPLFdm4gdqbGC5dYS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
df207c87313496d5 |
|
VISUAL
aHash
|
061818003c3c9080 |
|
VISUAL
dHash
|
8460700058602001 |
|
VISUAL
wHash
|
7e3c38183e7e3c81 |
|
VISUAL
colorHash
|
38c00018000 |
|
VISUAL
cropResistant
|
8460700058602001 |
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 77 techniques to evade detection by security scanners and make reverse engineering more difficult.