Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8124112B658661C62DA82E4FE37C7D7730583D5D2080FFA6BB8423EB88D5E4443A9DC |
|
CONTENT
ssdeep
|
192:AzktMbNnL6TmU38X6vevM5fcYfX0O1b9LpxxC5tMFp:AzkS5nLQBC69txxC8r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b03431dbc6d37465 |
|
VISUAL
aHash
|
c3c3c3ffffdfffff |
|
VISUAL
dHash
|
9696961e1e1e1e1e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
060000000f0 |
|
VISUAL
cropResistant
|
9696961e1e1e1e1e,652596b6b25899a9,7fdcdcfcfcfcf6ff |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.