Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110339531A5D0277A00C382A1BF629B16A7B49AC4E2425714CFFAC3593ACDD8DDE677C4 |
|
CONTENT
ssdeep
|
1536:6/yLg5n+1jyP0qzqx4+v2pH4MPT2WalFF:6/mg5+1jyP0+k4+upW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333999999616467 |
|
VISUAL
aHash
|
cfe7c3e7ffffe7ff |
|
VISUAL
dHash
|
1c4d4e0e181c0c1c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
072000100c0 |
|
VISUAL
cropResistant
|
1c4d4e0e181c0c1c,b33b61617138534b |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.