Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F33FF30A540ED2701DB95C89672975A62E48345CA130BC9FAF4C7FAAFDEC68DE33185 |
|
CONTENT
ssdeep
|
768:OysIx/jmYgPZmsdVYZM4ZRyq12M2Uf79F:NsIxhgPZmsdVYZDyk2Mp79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c963b71c8d8273e2 |
|
VISUAL
aHash
|
000000381800ffff |
|
VISUAL
dHash
|
68cbc9f3b3d1cc2a |
|
VISUAL
wHash
|
ff0020783800ffff |
|
VISUAL
colorHash
|
120000001c0 |
|
VISUAL
cropResistant
|
0048b737b3635400,1a4dada98d5a8900,869eabab8f8c8c8c,d4ccd42a49020202,48d3cde9f3b3b3dc |
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 76 techniques to evade detection by security scanners and make reverse engineering more difficult.