Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAA2A732B014693B5193C2CD77A2A72ED2E3424DEA86051996FC43BD4BEBE95DC3341A |
|
CONTENT
ssdeep
|
384:Fhpcfy5NwOpJpRZYIWQ4qtpmIIIIIIBCIIIIvdqMCmSVUAz6QaoIIIIl8tIYsOyu:Fsfy5Nw0YJIIIIIIBCIIIIvr+VjaoIIm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243fd3ae92d9288 |
|
VISUAL
aHash
|
000030000004ffff |
|
VISUAL
dHash
|
18cce4e8cccc1700 |
|
VISUAL
wHash
|
00fc3470040effff |
|
VISUAL
colorHash
|
39000000c00 |
|
VISUAL
cropResistant
|
0080801858808000,184cc4e8c8cccc1f |
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.