Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157B3CD775118392B4037C6C130A5AB3BE2E79D5FFA974A410EECD7E62BF9CA0740650A |
|
CONTENT
ssdeep
|
1536:nnLz4NP/y9svbliCdI+FJPwkP/jBiLXKE7FtiuCa28y2O9:LmARwWXLQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d53a9e4cbc41 |
|
VISUAL
aHash
|
00202000000030ff |
|
VISUAL
dHash
|
cccfc3c5cdc9c3e0 |
|
VISUAL
wHash
|
64e3707c350078ff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
008081303000a000,cccdc3c0c5c9d9c2 |
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.