Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F4201306441B46B666B8A95B4719F0D252FCB38C7840A19733D66B1BFDECEC8D323A0 |
|
CONTENT
ssdeep
|
192:04PzbbcgS7fEpwekDpZtpdxxOpiJ0loeKt8iHiU9vENfYNqyTzhBeC3J:DPbyfEpweIXNxxOpiJS3KOZUqCtTzhBf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33399664ccccc66 |
|
VISUAL
aHash
|
e7e7e7ffe7ffffff |
|
VISUAL
dHash
|
4d4d4d0c4d0c0000 |
|
VISUAL
wHash
|
00070404243c0c0c |
|
VISUAL
colorHash
|
07600000080 |
|
VISUAL
cropResistant
|
4d4d4d0c4d0c0000,63e3b2f2f3323292,0100243030300011 |
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 39 techniques to evade detection by security scanners and make reverse engineering more difficult.