Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153034076A4449A3F11D783C267B06B1EF3D6E64ACA571B9A63F8831D0BC7E80CD31952 |
|
CONTENT
ssdeep
|
384:LVxKmVD7SjO+ISkByEcZfv8nK1pIf8v2FzO24U6XrDQ+/TqJq:LVcmtH+Isp71v2FBA0Jq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c689c1be99b99a91 |
|
VISUAL
aHash
|
ff70000010042070 |
|
VISUAL
dHash
|
63c7e577656dc6c4 |
|
VISUAL
wHash
|
ff733101b3947074 |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
710d244343434384,0008046870702004,c7c735776d6dc2c4 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.