Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123227333E600DD2A4D9B96C8F1C49588425EC345FB3148C6B2A491FF3BD5DF0A9A939D |
|
CONTENT
ssdeep
|
192:pdWkbtbbbBbU5T4xBAXSxlXMcnthWeNWbZfMmUU8VCoa3b:vW6VfZUhSxlefMmUFCoa3b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b399cc26993933cc |
|
VISUAL
aHash
|
ffe7efefe7e7e7ff |
|
VISUAL
dHash
|
000c1c504d4d4d00 |
|
VISUAL
wHash
|
3c242424e3e3e5e4 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
000c1c504d4d4d00,ecf0f769f4f97bdf |
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.