Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB936272954468370173A6D1E562A78F71D7920ACB8302D4B3FE82EDD3DCDB9B632294 |
|
CONTENT
ssdeep
|
1536:zuxKZ7G6OMrBOzXyTkB9u8AYDCHb/vr9bwII6DIIOOIIituyEOSyFLASIkR+rEta:RGhMrBOzCQPYIu3Ng1VAJrEtjUZlrG8J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a5d55a568f367130 |
|
VISUAL
aHash
|
ffffc33363000303 |
|
VISUAL
dHash
|
c4db9646d6968fcf |
|
VISUAL
wHash
|
ffffc33363000701 |
|
VISUAL
colorHash
|
0e003080000 |
|
VISUAL
cropResistant
|
5949b7c54d264c4c,c4db9646d6968fcf |
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 1075 techniques to evade detection by security scanners and make reverse engineering more difficult.