Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171427593D11899290B3240C9BAB7376FA6E5814DF7020BB466FCD32D17CFE52A9324D9 |
|
CONTENT
ssdeep
|
384:YGkqd1DRWeMQfIeRFOl13aE65aTgsdj7I5PAq7WOz87b1fbT9SwOwX3oKiNpt8F:zkqd1DRWn7eRFOl13aE65aTjdj7I5PAN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a6798ed921ce3166 |
|
VISUAL
aHash
|
ffffc3c3c3c3f7f7 |
|
VISUAL
dHash
|
200e8e8e8e8e2dcd |
|
VISUAL
wHash
|
83c3c3c3c3c3e707 |
|
VISUAL
colorHash
|
0e030000080 |
|
VISUAL
cropResistant
|
200e8e8e8e8e2dcd,1233333371696949,0048a0e868b08045 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.