Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174E25836B180962A7E8BC0FEE6C9A26A654C7045F730848259F5B22F9BCDD9C353137D |
|
CONTENT
ssdeep
|
768:KD3BXdELk5o+/7MpPdNN3CPPaTLBRfKrCek4gRv5hm/llrfBUsnH:KPoSgkaTL4BNH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83893c36b6dc782 |
|
VISUAL
aHash
|
c1838381cfffffff |
|
VISUAL
dHash
|
3b3b3f2f1b0f1b1a |
|
VISUAL
wHash
|
81838181c3c3dfff |
|
VISUAL
colorHash
|
06608010000 |
|
VISUAL
cropResistant
|
3b3b3f2f1b0f1b1a,dfd8585c335858d8,fcf1fdfcd7dbcabc |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.