Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5225D23B600DD2A899B56C8F2C49588411DD386FB3148CBB2A491FF7BC4DF0A99979D |
|
CONTENT
ssdeep
|
192:Olm6dovJuTLx5+ox2McnthWeNWbnfMmUU8VCok:eoRurffMmUFCok |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b131cfce3032cf19 |
|
VISUAL
aHash
|
c7c7cfc7cfffffff |
|
VISUAL
dHash
|
9c1c989d9c401000 |
|
VISUAL
wHash
|
04040e0604ffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
9c1c989d9c401000,0786868796b60606 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.