Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A1262E1C114DE364722C6E5FBFC6B477661C385CB47088097F482ABAACAC64CF1219C |
|
CONTENT
ssdeep
|
192:QTIEzQN1ElBK4pkdYMl4lR+y+BnXyK7y2ky5:QhdBZpkeMml4tB7dD5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec9893326d656c9a |
|
VISUAL
aHash
|
fffff3f1f1f1ffff |
|
VISUAL
dHash
|
0620272723271600 |
|
VISUAL
wHash
|
ec8c91818181c3ff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0620272723271600,fe82e2627272f470,9a928cf2f2b2b2f0 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.