Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5F1B7A850141E3E93A783D1A758B3B9516BE3CCD147104CFA9D04B827F5DE87C5D790 |
|
CONTENT
ssdeep
|
192:rca1X6FICv50In1oLc6weCvub0T6ecCvnp0a+aP:FxCvKsslCvugUCvn6rg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b64c981d9c1e36 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
324c0c1c4c0048c0 |
|
VISUAL
wHash
|
00e7e7e7e7ef0000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
320c0c0c0c1c1820,00d0484048407210 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.