Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECB3B422A3051C3F010382DD753CFB6D644EF1B9CACA0655FAE643AB57D9DE668C09AC |
|
CONTENT
ssdeep
|
768:z9cRIog5gfr0bc06kgZg8rYj0qU0H1OZ2mt9QHDmF9DKoTvndqz:z9cRNg5gfr0bc5NmYZ2gyjSpKohu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc562a13594b2d65 |
|
VISUAL
aHash
|
00c7f3fcc0ffffc3 |
|
VISUAL
dHash
|
8c2c261084382f33 |
|
VISUAL
wHash
|
0087f2fcc0ffc781 |
|
VISUAL
colorHash
|
064010000c0 |
|
VISUAL
cropResistant
|
0c26121896302f33,0022dcdc94334c0c,cfe767333c3f8f43,f3e3e1b68e47854a,0000003030100000 |
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 191 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)