Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E226133A600CD2A8D9B56CCF6C49589511DC345FB3148CAB1A091FF7BD4DF066A8BAD |
|
CONTENT
ssdeep
|
192:V013cUdJT7JvAXMcnthWeNWbZfMmUU8VCoiXX:6JTffMmUFCoQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f323dd88dd227622 |
|
VISUAL
aHash
|
e7e7e7e7fffffffe |
|
VISUAL
dHash
|
08080c0c00000000 |
|
VISUAL
wHash
|
e4e4e4e40f0f0d0c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
08080c0c00000000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)