Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B234A726732B87843CBA2DDF7392E45B2D2988DE9C74550B5C95A8E23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:q+EsZx8/G8SX4pDawkMJBrowgMJBrkwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqf:q+EsZ/8SopDawkMJBkwgMJB4wZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc4e46e9194c4 |
|
VISUAL
aHash
|
ff81818181ffffff |
|
VISUAL
dHash
|
4d5d5d5d49150001 |
|
VISUAL
wHash
|
ff8101018181ffff |
|
VISUAL
colorHash
|
17c00400000 |
|
VISUAL
cropResistant
|
4d5d5d5d49150001,fef9f1e1f1e6e4e9,343038383cbc9c89,98da9adadad8c813 |
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)