Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9832AA43A59F5665AF3439310AF1403B338562B640E4D606350FCAE76BCC9FA067FDA |
|
CONTENT
ssdeep
|
1536:ZfXFfbsQmlo2h2wV9LHd8tVPTMn57Bdluq++iX8z:ZfXjUMAL98n0dH++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c8caaab333333ab |
|
VISUAL
aHash
|
9938380000000000 |
|
VISUAL
dHash
|
13b2210c00000010 |
|
VISUAL
wHash
|
ff3f3c040000c3ff |
|
VISUAL
colorHash
|
38007200000 |
|
VISUAL
cropResistant
|
13b2210c00000010 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.