Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1530BAA2451601A4B7740E384BB1BC9B33D1C2FF81D45D195B8CBF572A88B5712BF8B |
|
CONTENT
ssdeep
|
1536:PPvdly9OsRZGCdfx+8/RXmmzuwsmvh/kpiyOloQzZs8oWQbp:Eh9ds8oWA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a171f18e8ec6e496 |
|
VISUAL
aHash
|
c3c3c3c3bfffffff |
|
VISUAL
dHash
|
9e9e1e176bd3ccfc |
|
VISUAL
wHash
|
c3c3c301037f3f0f |
|
VISUAL
colorHash
|
0e000030000 |
|
VISUAL
cropResistant
|
9e9e1e176bd3ccfc,2a33222b2a3a33cc,9c8888b888985c09 |
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 477 techniques to evade detection by security scanners and make reverse engineering more difficult.