Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164A36A33411935274437C6D530B55B3BD2A6DA5FFAA70A010EECD7EA2BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:vEeLz4NP/y9svbliCdi3jf3XFtiuCa28y2O9:HmALzE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363fd3ac44c944b |
|
VISUAL
aHash
|
00000000000400ff |
|
VISUAL
dHash
|
0e59c2e0c99d61f8 |
|
VISUAL
wHash
|
c3ef78303c0d00ff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
696900c1383080a0,0e494ae0c0e91d63 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.