Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6A37833411935274437C6D430A95B3BE2A69A5FF9A70A010EECD7FB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:aNdr6781LLz4NP/y9svbliCdR6g7jwFtiuCa28y2O9:ymALW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36bfd1a9469c512 |
|
VISUAL
aHash
|
00002000040000ff |
|
VISUAL
dHash
|
1c49cbc3ccccf3a8 |
|
VISUAL
wHash
|
c0ef71302c207cff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
000180815c588090,144dcbc3e9ccc4e2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.