Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0A38C33411835274537C6D530A65B3BD2A6DA4FF9A70A010EECD7FA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:MwLz4NP/y9svbliCdSL8fgL35FtiuCa28y2O9:FmAb8Ib6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926bed128d6d921b |
|
VISUAL
aHash
|
00800000040400ff |
|
VISUAL
dHash
|
19094b43cd0c73f8 |
|
VISUAL
wHash
|
c0e7e3012c0e3cff |
|
VISUAL
colorHash
|
31400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffefe,2000a08138308090,11094b4b43cc0c73 |
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)