Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C933D9503201B69F5C320F75F38A7096C1EED349FAE6A82DB684635274E2436C7479BE |
|
CONTENT
ssdeep
|
1536:vml0wA35nM+yZf3E4tpxjtSrzZ8Z7U1c/d/Z9:GZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1719e9625999965 |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
7196969696000660 |
|
VISUAL
wHash
|
00030303003cf090 |
|
VISUAL
colorHash
|
06080003200 |
|
VISUAL
cropResistant
|
7196969696000660,ccf09a82deb29696,ccb02b2bd00d8fb1,8cb89e3adce8aa8e,0dd5d555f5f57161 |
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 355 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)