Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14651FEB19126EC274293C1E072F5971F3AC682DADA83270267EDC39C4FE7E84ED14588 |
|
CONTENT
ssdeep
|
48:T+5YLqoPXreZG/q5/dEgLogDt6BPfddWwT407PgD2:T+5YLBrep59jaPbn77PgD2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b634c4c72767658 |
|
VISUAL
aHash
|
00ffefefffffffff |
|
VISUAL
dHash
|
05d34b4b5b3b326e |
|
VISUAL
wHash
|
00292f071f1f1f3f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
495bcb4b7b3b336e,0000c0202020c000 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.