Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A73D8E3124425BF12F753A5A6193B45F7918019CE211F84A7BCC2CCA7E6E10AAF37D9 |
|
CONTENT
ssdeep
|
768:Ndnn44UrQP+gILu5ChSKyZvoVNRDAUcPlQSKVsZkyO0QROf:Ndn44gQuknNZQVNRDJc9KyZDGOf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3943ce3793c9196 |
|
VISUAL
aHash
|
ff763e0c6c642020 |
|
VISUAL
dHash
|
d4ccdcd8c8c8c8c0 |
|
VISUAL
wHash
|
ff763e4c7c782020 |
|
VISUAL
colorHash
|
30006000040 |
|
VISUAL
cropResistant
|
393931a696cefce0,d4ccdcd8c8c8c8c0 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.