Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C43783C7E02786A173B98C4F091BF247577AF3AC1594BA8A36C52606FC6CE6D816374 |
|
CONTENT
ssdeep
|
1536:H+wVfmDcVuNmLRSPze5vxKdv/zTZ2wFrFbAFh5LfOLfMLfPLflTzhBeC3D:en6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3672331998cdd8c |
|
VISUAL
aHash
|
c3c3f7ffffffffef |
|
VISUAL
dHash
|
ce4c060c1808908a |
|
VISUAL
wHash
|
42c3c3c3d8d05048 |
|
VISUAL
colorHash
|
07000000c80 |
|
VISUAL
cropResistant
|
ce4c060c1808908a,495c54717171d109 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)