Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEB221707291197B50ABC7F2B6B1BFAAA1C9C30AD693D659F3E8C3591BC3C60DD42214 |
|
CONTENT
ssdeep
|
192:ig/WO6WT9tZh/ke3R79HfP+MuC6btOXNWZK+Ld7QH:iFST9jCel9HX+LC6btOAL7I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99c4649b9e6631cd |
|
VISUAL
aHash
|
7e7e7e3c3c1c0000 |
|
VISUAL
dHash
|
f0f0d4e8f0f8e4f0 |
|
VISUAL
wHash
|
7e7e7e7e3c3c0000 |
|
VISUAL
colorHash
|
07000008006 |
|
VISUAL
cropResistant
|
f0f0f0d884e8e8f8,f0f0d4e8f0f8e4f0,3f2f2f67e73b333f |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)