Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E83359B6070A63FE773A3E22C946796F2EE0518E20A10601DF856362BDFD11B53375E |
|
CONTENT
ssdeep
|
1536:BYDTImJ9C6bheVC4hkRepTekjIb1ngH8VF76hCX0RDtw3fR/8Ze8hUiPjqIKS1Ab:ATIn6tD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b131cece9331ce38 |
|
VISUAL
aHash
|
ffc3c3c7cfffc3ff |
|
VISUAL
dHash
|
009e9e9c9a009616 |
|
VISUAL
wHash
|
c3c3c3c3c4c4c0fc |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
009e9e9c9a009616,41414101611182a3,0000083030300800 |
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 104 techniques to evade detection by security scanners and make reverse engineering more difficult.