Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166A36933411835274437C6D530A55B3BD2E6DA9FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:8pTLz4NP/y9svbliCdbwU9aFtiuCa28y2O9:gmAGwW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363f532d46c944e |
|
VISUAL
aHash
|
00000000000400ff |
|
VISUAL
dHash
|
0c4942c0e91d61f8 |
|
VISUAL
wHash
|
c3ff38381c0d00ff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
69500001387080a0,0e4942e0c0d91d61 |
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.