Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DFD184B05030492F295785B5F051BF15B0DAE38CCA67BC7CA29CC27A2FE9D68C89E495 |
|
CONTENT
ssdeep
|
192:tS5AMAvA3AgAnAyZu33cSBrVUNjpjeIpfLLb9WVTY:UKzoQHA8u33cSBV0JtpzLb9WVc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c66968b66b69b449 |
|
VISUAL
aHash
|
f0f0f0e0f4f6f0f0 |
|
VISUAL
dHash
|
2424c4c1c4cc2324 |
|
VISUAL
wHash
|
f0f0f0f0e0f6e0f0 |
|
VISUAL
colorHash
|
38047000000 |
|
VISUAL
cropResistant
|
0000004d0d080000,2424c4c1c4cc2324 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.