Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E122ED325128E93B12A7C6E8A3B2576F71D5A345DE47034187F883AC4FDBCE1DE4A096 |
|
CONTENT
ssdeep
|
192:+biS0xb2/Tnzo8iIIe1qm044hYmnc5mimqmfXfMEhK43QYM:+eS0+z0IIe0dWb5FZS0Ey |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cce473594e668c33 |
|
VISUAL
aHash
|
e6e7ff3818180000 |
|
VISUAL
dHash
|
8e8ea2a2b2320ca5 |
|
VISUAL
wHash
|
f7f7ff7e18180000 |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
8e8ea2a2b2320ca5 |
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.
Pages with identical visual appearance (based on perceptual hash)