Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A62295F16580702F6157C3CA9F399BBD73E651A2E6D7010197FCC7898A9BC82EE0B944 |
|
CONTENT
ssdeep
|
192:ieC2LzW405BAAqRZ6CRmpKR19LFW40nBAAqRZ64oGQls+el:kq0iRZ6CRm6V0URZ63ls+S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3938caca09a9ee6 |
|
VISUAL
aHash
|
7e646c6c60181800 |
|
VISUAL
dHash
|
e4ccc9c9cc3270b2 |
|
VISUAL
wHash
|
ff7e6c6c60183c18 |
|
VISUAL
colorHash
|
31030000600 |
|
VISUAL
cropResistant
|
762c99f2c0808183,e4ccc9c9cc3270b2 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.