Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8D2A3B1B000263F029783D97B10FB6EA2E39249E796150553FD835E5FE7FA0D91392A |
|
CONTENT
ssdeep
|
384:7SFy5NT2A7h9WtOWPMweJpv6JB64WsQOayIYsOy2+y9BH4ciUIe:7SFy5NT289W8pyYO57sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f83acd2c90c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0808c8e0cc0d0f00 |
|
VISUAL
wHash
|
00ece4303c04ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0680a00458988000,9008dcc0c0cccc0f |
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.