Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112955913E7621801E67E98C4F1AB57A8B347075B5B050D7AA6E8873BF8DD07231B07AD |
|
CONTENT
ssdeep
|
3072:FKnJuwMp/MQLAqvOZkvveT+qqIaIkGrMS:OJuwIAqvOZkvveT+qqOrMS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58a64df2077a264 |
|
VISUAL
aHash
|
e3e7c3c3c3ffc3c3 |
|
VISUAL
dHash
|
86968e8e960e8e96 |
|
VISUAL
wHash
|
c3c3c3c3c3c7c2c3 |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
86968e8e960e8e96,cccd4d4b490b098c,cccccccccccccccc,c8cccc8f2b2f2f0f,525656572956565f,cc8cccb4c8ccc8cc,91c9ac52d2ebabed |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)