Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAB284729040273F0197C3C5B7A1BB2DA2E79288EB86290592F8475D8BDBF50DD2395B |
|
CONTENT
ssdeep
|
384:Dgy5NOaQVGA6renYIIIIIIlg5rZJpppxUNlGZEnzWmxGv6IYsOy2+y9BH4cCUIe:Dgy5NOazIIIIIIledxafimMi7sOy2+yP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b62fa912d44dc792 |
|
VISUAL
aHash
|
000120000400ffff |
|
VISUAL
dHash
|
970f49716c8cf100 |
|
VISUAL
wHash
|
0087fd800e04ffff |
|
VISUAL
colorHash
|
32001400200 |
|
VISUAL
cropResistant
|
8620140c0c300482,1080800030908000,871f4d4168cc8cd1 |
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.