Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AB39B33411935274437C6D530A55B3BE2A6DA4FFAA70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:LTLz4NP/y9svbliCdacR4Q0jGFtiuCa28y2O9:zmA+RNKl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ed128d6d924f |
|
VISUAL
aHash
|
00800000040400ff |
|
VISUAL
dHash
|
19094b63c94c33f8 |
|
VISUAL
wHash
|
80eff7390c0e00ff |
|
VISUAL
colorHash
|
31400030000 |
|
VISUAL
cropResistant
|
fefeffdfdffffefe,6906a08138308090,11094b4b43cddc73 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)