Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BEC273B12364203EE11B9AD7AF62372B35FBA1FDE8720554D7FD0A949BE0D89EC12144 |
|
CONTENT
ssdeep
|
384:GMdWtqY+SAaU5HFU74CyZVawq/+2oiRYXvrJzckiazH0QQOD818HYc1RcWM0:GMCAaUa/yCwr2hRYXvrJIy3YwZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92922d6ded9296e1 |
|
VISUAL
aHash
|
03446c4c4000007c |
|
VISUAL
dHash
|
968dcd8d926cd4d4 |
|
VISUAL
wHash
|
47447c7e60047e7e |
|
VISUAL
colorHash
|
38038000000 |
|
VISUAL
cropResistant
|
f0dcb2c4c8b2c4f0,968dcd8d926cd4d4 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)