Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEC2A771A2006A3B4397C3C9B7A1B72E93E38289DE47080962FC535D4FE3E50DE1752A |
|
CONTENT
ssdeep
|
768:sSCy5NqovNMV6b3Hj7qTShN7sOy2+y9BH4crIe:FviCxT7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936fb532e52894cc |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0c49e2c8e1f99d00 |
|
VISUAL
wHash
|
80ff3830000cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,4c4960c0c0e9d91d |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.