Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139B2E772B18554177862F0E0E12B577FB1900DCAA7774FD4B6E461B6BE88C6A88633CC |
|
CONTENT
ssdeep
|
768:Zkn9mfXxftfefRfkf6fpBkn1fXmZP/u2vUwXNAzwUWAyWwR2vYt4L:eO4/u2vUxzwUWAnwR2vYt4L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bec6b06e39833986 |
|
VISUAL
aHash
|
e7e7ffff8181ff81 |
|
VISUAL
dHash
|
4d4d0c1723330033 |
|
VISUAL
wHash
|
e7e7e7818181e781 |
|
VISUAL
colorHash
|
06000030000 |
|
VISUAL
cropResistant
|
4d4d0c1723330033,323070e0d0ecccf0,4149253331494141,313131b169686868 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.