Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128A35933411935274437C6D530A55B3BD2E6DA8FFAA70A010EECD7EA5BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:RfiLz4NP/y9svbliCd3D+DsFtiuCa28y2O9:imAIqz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d363f532d46c9449 |
|
VISUAL
aHash
|
00000000000400ff |
|
VISUAL
dHash
|
0c4942e0c99d63f0 |
|
VISUAL
wHash
|
c3ef38383c0d00ff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
60580001387080a0,0e494ae0c0c91d63 |
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.