Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7A38A33415935274437C6D530A55B3BE2E68A4FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:njLz4NP/y9svbliCdG6HnFtiuCa28y2O9:/mAv3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372d42a8d49e563 |
|
VISUAL
aHash
|
00000000000018ff |
|
VISUAL
dHash
|
1c0c4849cdcf61f8 |
|
VISUAL
wHash
|
80c4e0202f07ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
6900a080303080a0,9c2c4848d9cd4f61 |
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)