Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFF3866301156A2E4437C3D07575DB76D2AAD98FFAA70A404EDCC3B63BEAC50B81B51C |
|
CONTENT
ssdeep
|
1536:8HR6UUgQmTa3MZo+Hd1+r0S1jjC3leaHQflUeDd2nhna+nTBRP9V7A:8x6UOQfd3RXeV+A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
845be4bb2f83932c |
|
VISUAL
aHash
|
fd1c1c3813bff3f3 |
|
VISUAL
dHash
|
09b4bcf1732a2527 |
|
VISUAL
wHash
|
fd1c1c100197f3f3 |
|
VISUAL
colorHash
|
07000180003 |
|
VISUAL
cropResistant
|
09b4bcf1732a2527,0000808880840000 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)