Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB3353F211466E2F105382E29B1CF62ED3D6D609CB638E47E7F8C32B51CADA4DE25164 |
|
CONTENT
ssdeep
|
768:kam38YsQ80Y/EYzDc3Qs/TwQ8ogMY/HMm38YsQ80Y/EYzDc3Qs/TwQ8ogMY/HjS4:AKYS0pyeaWnC0vxTAa8W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3b01896b8 |
|
VISUAL
aHash
|
fb939f9fdfffffff |
|
VISUAL
dHash
|
4b2b3431b4f41d4d |
|
VISUAL
wHash
|
00001e1e5e1effe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
4b2b3431b4f41d4d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)