Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104E2E833DA46B93F125316EDE71867AA9193A00ECF164408F2F501D56BE6D922C36FCE |
|
CONTENT
ssdeep
|
384:e0IuwqMSx5hVBLBKzhgc7Vbqvb6BFcdwT8TzUoXtI9GHrXnBfpyL1wp:eQhVBL8zhgcu+BFcdwT8TzUKtIoB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
866c3336db26d16a |
|
VISUAL
aHash
|
0000303c3c06027e |
|
VISUAL
dHash
|
cca4d3e5e1d4c4d8 |
|
VISUAL
wHash
|
0010387d7c5e66ff |
|
VISUAL
colorHash
|
30000030000 |
|
VISUAL
cropResistant
|
cca4d3e5e1d4c4d8 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.