Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B330A31A2011E3B114746D0BEB96B8D34A3D34FC94A126897FD57B81FE6CA2FC1B199 |
|
CONTENT
ssdeep
|
768:9wEnmjv4KSpekgMhYVNn++jzL0VJ84jbqBtebdQPDYTAIiSNIbpDQ/BICOe4uKE9:9wEsvipA31LMDIW/BnDdHAxg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936d926c71926cc7 |
|
VISUAL
aHash
|
00203c0c200c2e0e |
|
VISUAL
dHash
|
94cbe9d9c238d8d8 |
|
VISUAL
wHash
|
077d7c2c640c7e2e |
|
VISUAL
colorHash
|
30180002000 |
|
VISUAL
cropResistant
|
a28590cccd88a1a2,f0e21833333b3333,94cbe9d9c238d8d8 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)