Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7F2E997314826E5C2F38FD898106A547146EA9FC9318370C2F84E3927D25A5B78DF7E |
|
CONTENT
ssdeep
|
384:Tig4/V7mCz3uXunjQ/01DDPKbY+bO0vsFiYK/M74UZh3gl4oyZRMhPv9Cz2W0:oV7TKXujeGHKrhscY7UUjJo4Rqe0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc2cd3a766861943 |
|
VISUAL
aHash
|
ffc7c3c381c3fffc |
|
VISUAL
dHash
|
251717272f3b0d09 |
|
VISUAL
wHash
|
f7c381818181fdfc |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
251717272f3b0d09,cb1b152c3e1e0f0f,1e0b693971772e1f |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.