Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179F21F10C39BA93B007BF5E55CA66B1625DF971CD12B42209AFD821F2BDBC127512E8F |
|
CONTENT
ssdeep
|
768:3YYZ2a0IwF1agMBsWK2r0WK+qJ1z+92SgRM/P/Y5BEafCRAeXvFJq9bmIPnFdvZG:33Z2a0IwF1agSsWKG0WK+k8h3Y5BEafC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a337131717131dd |
|
VISUAL
aHash
|
003c3c3c3c3c3c00 |
|
VISUAL
dHash
|
5969696969696969 |
|
VISUAL
wHash
|
2c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
07000080007 |
|
VISUAL
cropResistant
|
8ec6d2eaa2f2cc8e,5969696969696969 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.