Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170537676F0046027755701D8A3117B8873EB8B5CD983CA94A6F46AD31BEFDC29C9E7A0 |
|
CONTENT
ssdeep
|
768:jgOx2uiYveyNAC4/JCINaowUG1LBWn1iOYdjG:EOZbx4/JXB+ATYdjG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9562f50a9c62f39 |
|
VISUAL
aHash
|
030000f0c0006303 |
|
VISUAL
dHash
|
1b1b60a49204830b |
|
VISUAL
wHash
|
0f0173f3e0c0f383 |
|
VISUAL
colorHash
|
38e00000000 |
|
VISUAL
cropResistant
|
a8a6482b27c080a0,4d4db24d4df02f37,1b1b60a49204830b |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.