Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A923232EE318463FE50E878CC9D5D528302C42DF665073A4BA365B7A66289DE6C373DC |
|
CONTENT
ssdeep
|
768:qsC9VCF66g4rJZ7qY3Vl3bzBjBQgJryiGCKDTFRE:LCnQ6ArJZeYHtJ+iGCKDTs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc662733999933 |
|
VISUAL
aHash
|
1018181800000000 |
|
VISUAL
dHash
|
311432320c100000 |
|
VISUAL
wHash
|
81fbffff00000000 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
000c309c4e5e3004,311432320c100000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.