Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195C2B471A110273F02ABD2C97351B72EA2E3934DDB85081653FD8BAE4FE6E40DD63526 |
|
CONTENT
ssdeep
|
768:kSXy5Ne6QzPrgJv1o0vE+7F1CoeK7sOy2+y9BH4c1Ie:yQzPrgJv1oMxLCoeK7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bf932d1699482 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0c49c3c3cc4cb200 |
|
VISUAL
wHash
|
80fd31300406ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
408080106c888000,0c09c3c3c3cccc36 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.