Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147235E392123A3F7408F79B4BAB1B3CD3167D34EEB02B7E585A942C44FE9E1454A7249 |
|
CONTENT
ssdeep
|
768:pKithk9gjdvTRyPEbBf5FnHL8zoAr7YWD0xpc9mbpVDku3FqVnV6VJCYcj/xyPFK:nthk9gjdvTRyPEbBf5FnHL8MAr7YWoxG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed691712166e6745 |
|
VISUAL
aHash
|
00d9d191ffffffff |
|
VISUAL
dHash
|
dc332323430c1232 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06200000013 |
|
VISUAL
cropResistant
|
3b332323c80c3222,9c2c7870de93da66,fffbe4d494e47fff,3b6e6b5b1bbb9391 |
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 144 techniques to evade detection by security scanners and make reverse engineering more difficult.