Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3327233B500DD2A499B56CCF2C09689511EC349FB3148CAB1A491FF7BC4DF069A97AE |
|
CONTENT
ssdeep
|
192:ZBY3JqYcHcCZr3sSeUsQxXMcnthWeNWbZfMmUU8VCorRuuZ5TQ3:+cHcCZr3sSeVfMmUFCoFrE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e733d88c99996788 |
|
VISUAL
aHash
|
efe7c7e7e7e3ffff |
|
VISUAL
dHash
|
080d4d0e0e4c0008 |
|
VISUAL
wHash
|
27030303e0e0fdfc |
|
VISUAL
colorHash
|
070020000c0 |
|
VISUAL
cropResistant
|
080d4d0e0e4c0008 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.