Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193336C73A61A797C53CB40EEFB3D6916F2C14858E9C78114B9D8825E13C2CC1A25BFB4 |
|
CONTENT
ssdeep
|
1536:a7+EsZ/8UcXrGDawHMKBRw5MKBKwh82+/9dtyDieMvdhf/q42Yw+:aEDcXrxwrwiA820D0jMPF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf21676fe0d94890 |
|
VISUAL
aHash
|
83879f8f8f839f87 |
|
VISUAL
dHash
|
4b4f35593f63793f |
|
VISUAL
wHash
|
81879f8f8f018f87 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
4b4f35593f63793f |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.