Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1092211E1D054ED36076281C9BBF57B1B77E1C384CF020E5453F8537AABCADA1CA225A9 |
|
CONTENT
ssdeep
|
192:QfAz/zYhhCeC44o/l8ibtGKOk4E8gaJElU8F:QfgGCe3/d1btGZgaWa8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
81568cfc03fb0cfc |
|
VISUAL
aHash
|
7e3c7c2c1c5cff3f |
|
VISUAL
dHash
|
c0d4d4ccd0f000d0 |
|
VISUAL
wHash
|
7e3c180c1818ff3f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
c0d4d4ccd0f000d0 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.