Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10AC2A472A140273F02A7C3C97751B72EA2E3824DD789482653FE836E0BE6F51DD2355A |
|
CONTENT
ssdeep
|
768:PSXy5Nejzp52xYkvToHNvOH9gRloiKMasxeFEb4rPQVFU1O/RZf0vzodnI07sOyu:ZLPQVFU1e0zoO07sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd12d0698592 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c3e3cc4cb600 |
|
VISUAL
wHash
|
80f561300c06ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
008080084c808000,1409d3c3e3cccc36 |
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)