Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14CA37933411935274437C6D530A55B3BE2A6994FFAE70A010EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:9MULVTLz4NP/y9svbliCdvtfeFtiuCa28y2O9:SamAwl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343fc389929b547 |
|
VISUAL
aHash
|
00602000000000ff |
|
VISUAL
dHash
|
18c8ccc8c8cd2fb6 |
|
VISUAL
wHash
|
c0fcf4207c0703ff |
|
VISUAL
colorHash
|
30e00010000 |
|
VISUAL
cropResistant
|
008081303000a000,1848ccc8c8cccd0f |
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.