Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150C2A731B1006A37829782CAF6A2632F62E7834FDB82051992FD436D4BD3D85DF77529 |
|
CONTENT
ssdeep
|
768:2QepfBbGx6Fw3O5Gkl+7sOy2+y9BH4cLIe:SBTyY5I7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243dd3a9839b989 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
98c4c8c8cd8d8300 |
|
VISUAL
wHash
|
0c7c30006c45ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,18ccc4c8c8cd8d83 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)