Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B422123474023852A137DED2F4D15F0C2213D736DA450AA5F7A816626FCECF85A73BA8 |
|
CONTENT
ssdeep
|
192:lS8bZgS/I/gTNscv/KDqzFA6vsNv/+zVZEu3JMLEDbDwNLLpvENfYNqyTzhBeC3D:AeI4NscX+gvvsNX0DEu3uLEDbcNLLGCH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e464659b9b6564cc |
|
VISUAL
aHash
|
c3c3c3c3ffe7e7ff |
|
VISUAL
dHash
|
9696968600160e00 |
|
VISUAL
wHash
|
03030303c3c3c3db |
|
VISUAL
colorHash
|
06001000180 |
|
VISUAL
cropResistant
|
9696968600160e00,f0f0e0f0f0f0f0f0,9090909090b49090 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.