Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCF3D8F1909535BF045652C6BA06B399B6A3F0CCCF01CE85D3A4C789564FFE2E92319A |
|
CONTENT
ssdeep
|
3072:MvoKxawJVtrYJVtr5xmvoKTgwJVtrYJVtr5xyvoKTgwJVtrYJVtr5xyvoKTgwJVR:ilawJVtrYJVtr5xc/gwJVtrYJVtr5xI/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93cd366969368639 |
|
VISUAL
aHash
|
007e7e7e787e0e06 |
|
VISUAL
dHash
|
93d8dcc0d2d0cc8c |
|
VISUAL
wHash
|
007e7e7e787e0606 |
|
VISUAL
colorHash
|
06000000c00 |
|
VISUAL
cropResistant
|
58a94919596e0d4d,93d8dcc0d2d0cc8c,8e8eccdcd8c8c8d6,cb3311cbd307c8d6 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)