Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17703203060803A3B0147A7D4AB35A75B73C69206CB134B16A7F8D79F4FCBE44DD26A66 |
|
CONTENT
ssdeep
|
768:vejbN1dg2z7zHzQz4z4zlzQkXRPMhAs6oDpPMfz4:vejR1WXoDpE74 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8fd2b4caa5aaa5c2 |
|
VISUAL
aHash
|
ffff3f0930010103 |
|
VISUAL
dHash
|
2365edd3e3636b56 |
|
VISUAL
wHash
|
ffff3f0b38010103 |
|
VISUAL
colorHash
|
06c00400000 |
|
VISUAL
cropResistant
|
232365b1ed45d3d3,80c0f0f8f8e86864,1b0f899966cc93d3,8f1b565e8ea5a3eb,eeae92ee2ef2ba7e,a280a2800e8ea22a,e5cc4468e8640859,a1c5d3e363635b56 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.