Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DB329D8D73053FC584FCBEEBE3164647A1E60EABAC14998C29D5EA496D3CC4EC05C86 |
|
CONTENT
ssdeep
|
1536:aRFO+wesQ89hW43OCZrcgDPUcPNSSVYknQe8hSt6pQCawLyRZPoFiAAB4+y8:4FteFcgDPUc6VWwI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6b139c6cf3990cc |
|
VISUAL
aHash
|
3f7f603474360000 |
|
VISUAL
dHash
|
ceca94e4e4643830 |
|
VISUAL
wHash
|
7f7f747676360000 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
f0dc8e9697cac4f0,fffff7f7f7f7ffff,ceca94e4e4643830 |
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 56 techniques to evade detection by security scanners and make reverse engineering more difficult.