Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC147A33421935270537C2D530B99777E2969E5FFAA70A010EECD7FB2BEACA0745A019 |
|
CONTENT
ssdeep
|
1536:rjuZZRTk9PSGIhIEBa4MuoMh5VjasvAj1tGYQP+IfNvHSlhsxhzV0G:WVwlIh5BasKa7DuG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92b26d6d76125a36 |
|
VISUAL
aHash
|
037fff0e06180000 |
|
VISUAL
dHash
|
c2c74d4d8c326868 |
|
VISUAL
wHash
|
23ffffff06180008 |
|
VISUAL
colorHash
|
31007000040 |
|
VISUAL
cropResistant
|
a28080d0d0c080a2,a280a06060e080a2,a2a0d07474d080a2,8280964ede900082,c2c74d4d8c326868 |
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 73 techniques to evade detection by security scanners and make reverse engineering more difficult.