Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17BB1C0B382D6D12A2332D6CAB0B4B72CE2E3106DDF525565EAB9075E49CCDA1B0435CB |
|
CONTENT
ssdeep
|
96:aOnNcfhDjph2j4hdjNhojnhvjkhbOjHVdYuFr8C7CIQF2J3qeFfweWe:aOnNcfdpw43NKnxk5ubReIweX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2cb3b3a6c6c7032 |
|
VISUAL
aHash
|
3c3c7c380c3c3c3c |
|
VISUAL
dHash
|
d9d8e8e4e8e8ece8 |
|
VISUAL
wHash
|
3c3c7c7c0c3c3c3c |
|
VISUAL
colorHash
|
31603000000 |
|
VISUAL
cropResistant
|
d9d8e8e4e8e8ece8 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)