Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150A2A231A048AD37469757DCDB640B56B397F298CB430A80E3F883AD1BDBEE1DD85225 |
|
CONTENT
ssdeep
|
192:X1AgxW/0ZV2KXmNphK1BUlVjXJeIizp/uRWduofB/nyTUkGbAdzp/nRWdX8JYGaE:XysUphK1mlVjXOndBY34dXRQZVUqDIM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbe8db4734c79430 |
|
VISUAL
aHash
|
fff9f9f000302000 |
|
VISUAL
dHash
|
633333d3c94949b8 |
|
VISUAL
wHash
|
fffdfbf900382000 |
|
VISUAL
colorHash
|
1be00000001 |
|
VISUAL
cropResistant
|
0000020303101151,9c8cec9c9cdc38b8,828286a5a3839317,e5e57affffffffff,64a4f27270f8f8f8,f2fafae9f9f8fcf4,e6cac84864eccef4,633333d3c94949b8 |
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 105 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)