Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F234B726322B8A843DB91EDF7383D56B2D55889F8CB4454F5C95ACE13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:a3+EsZx8/G8y4sDawTMDBWMwYMDBW7w9r82+/9dtZkDieE565TmHEnkvdhfVPqDo:a3+EsZ/8FsDawTMDB1wYMDBOwh82+/9n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbf06c6885d991b4 |
|
VISUAL
aHash
|
f1818f8f8f8d818f |
|
VISUAL
dHash
|
633959595d591b79 |
|
VISUAL
wHash
|
f3818f8f8f89818b |
|
VISUAL
colorHash
|
1b20a008200 |
|
VISUAL
cropResistant
|
633959595d591b79,b981316366301106,fcfafbbb3bfbfbd3,411a989c9e581bfa |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)