Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1A35833415935274437C6D530A55B3BE2E68A5FFAE70A010EECD7EA1BFACA0744B11A |
|
CONTENT
ssdeep
|
768:9edG6aMLz4NP3+mZY9svblTOCVrEOIw+rHrFtiuCa28y2OZL:FMLz4NP/y9svbliCdENdFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f43a9969c549 |
|
VISUAL
aHash
|
00046000000001ff |
|
VISUAL
dHash
|
1c6cc4d8c9cd8fb0 |
|
VISUAL
wHash
|
00f4f0002d07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0000a081303080a0,9c2cc4d0c9cdcd1b |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)