Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DA39B33411935274437C6D530B55B3BD2E6DA8FF9A70A010EECD7EA2BFACA0745A11A |
|
CONTENT
ssdeep
|
1536:vLz4NP/y9svbliCd8gU0O5dct0FFtSuCa2GG2AY:TmAjb3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936bed129c6d9612 |
|
VISUAL
aHash
|
008000000c0400ff |
|
VISUAL
dHash
|
09094b63dc4ce398 |
|
VISUAL
wHash
|
c0efe3093e1c00ff |
|
VISUAL
colorHash
|
31400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffefe,00008001585a8090,0d094b4b43dcccb1 |
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.