Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3C2B971A1402B3F0297C3C9B361B72ED2E3834ADA4A491553FD975D4BE7E94CE2381A |
|
CONTENT
ssdeep
|
768:ESCy5NGjiwJOFs/Scf/y7sOy2+y9BH4crIe:iiw5DK7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9323f53ac42cd6c5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c5952f0f9f9bb00 |
|
VISUAL
wHash
|
002f38081c0fffff |
|
VISUAL
colorHash
|
11018000600 |
|
VISUAL
cropResistant
|
2080802058d08000,1c594af0d0f9f93d |
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)