Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC3155319108D967024243D27FB26A4A62C38147FF720D4052F6C3BD5EF4A96CC7A48B |
|
CONTENT
ssdeep
|
24:kWtUVpTN/+TN/0AptZlDenvFZfslzS9pBHwqQMfVFsl7awo3he0lm4:PUVpTNmTNMK3denvjEzUBHoMfvs1Ra |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aed7f1a842a353a8 |
|
VISUAL
aHash
|
a69a2e3c1101c3c1 |
|
VISUAL
dHash
|
4c366c69e56b8717 |
|
VISUAL
wHash
|
bebe3e3d110323c1 |
|
VISUAL
colorHash
|
38000c00000 |
|
VISUAL
cropResistant
|
fb77eed930ead0a0,8aa29ccdcca280aa,4c366c69e56b8717 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.