Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130E0689F7504CD0229A2CC4839F0B60EC87B5583886952CAF6F88AAD25F0EE264023A4 |
|
CONTENT
ssdeep
|
6:qGJAmc4sVuCc4Iy0RDmc4ItEoOzic4IL3KLxHrzKnAtWdqtqIiXtZ74Gb:fA5YVRD5tCVDKFHXKdAGb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b7228a881d3f37a6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
f18c0c1000000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
71f080a8514d4c10,0000000000000000,0105054545454585,0000081010101000,5050105050904040 |
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.