Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A744833421935260537C6D430A99B37D2A6DE5FFAE70B010EECD7E72BE9CA0745A11A |
|
CONTENT
ssdeep
|
1536:TdIIWbWstsEJPjQBq1Wixx2l9SLgZvt8VPB6RxknNucReJTvEOhx2UdP38NEfoUv:T94LqFQ6LJTvfF2cyG7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8b35f80a35495e76 |
|
VISUAL
aHash
|
00e7e73f253c3dff |
|
VISUAL
dHash
|
b78e4d4e69797916 |
|
VISUAL
wHash
|
00c3e73f251838ff |
|
VISUAL
colorHash
|
06003600000 |
|
VISUAL
cropResistant
|
b78e4d4e69797916,ffff7fb9b9bb7f7f,5c26e627474c1387,072602414141858b |
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 80 techniques to evade detection by security scanners and make reverse engineering more difficult.