Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADD28432A1205A3B42E783C8B7A17F2E63E7838DC645055596FE83B94F93E08DD33695 |
|
CONTENT
ssdeep
|
768:u6er4A9KvNwITxGT7pynuw7sOy2+y9BH4c1Ie:uSA9KvWT7gnuw7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c30bb53af02cbc9a |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
48c8c0c0c8c4e500 |
|
VISUAL
wHash
|
003c30f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
008080004c888000,49c8c0c0c8c884e4 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.