Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6A24070A148AC3B40D393D5A7319BAFF2D9CA42CA430223D3F8978D8FDAD95CD26546 |
|
CONTENT
ssdeep
|
192:Ab5N26aK2SkwaLNfQa0RzsNvCZCBz768EOYFNydZrwUECLRL0SZ:k5N2Vb/XNKIBzOGVr9ECJ0SZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a1515e3cd1a6b6d1 |
|
VISUAL
aHash
|
42006e6f6f07077e |
|
VISUAL
dHash
|
96dcdcda9a17cdd8 |
|
VISUAL
wHash
|
42046e6f6f07077e |
|
VISUAL
colorHash
|
3a030010000 |
|
VISUAL
cropResistant
|
00122896966b0400,96dcdcda9a17cdd8 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)