Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFA2973098877A3726B313C5D792977FE7C88245D20B8A89D6F89B5D0BC6DC4EF26205 |
|
CONTENT
ssdeep
|
384:YgnI2DMTFcQafp+W+9pDHcw06JIig/qnhc6WhueK9ScN:YT2ecQSp+WSD8h0q6czWxN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e64c19337c446cd7 |
|
VISUAL
aHash
|
00fffff3e7c3ff18 |
|
VISUAL
dHash
|
a66864144d0dccf0 |
|
VISUAL
wHash
|
00fff4c0c3c3ff00 |
|
VISUAL
colorHash
|
00030000000 |
|
VISUAL
cropResistant
|
e86536444d0dccf0,82a196e2c6864100,60b0315459e4d489,4cb6320cb2b20c10 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.