Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188A37933411935274437C6D130A55B3BD2A7DA5FFAA70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:eI9Lz4NP/y9svbliCd1fxQbFtiuCa28y2O9:/mAYZQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d363f53adc289143 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
1c49c2e0c9cd69e8 |
|
VISUAL
wHash
|
c3ff70382c1c00ff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
696c0001387080a0,1e49c2c0e0c99d69 |
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.