Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EC2B732A0006A37519393C973B16B1F92F3934DDB56061992FE43AC17E3E61DE7386A |
|
CONTENT
ssdeep
|
384:yC6BWbIRxQReKxnxynxjhHTAt24wyQYnLGVoIYsOy2+y9BH4cUUIe:D6BMVo1HTSeSgo7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247d5329429bcae |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
ccccccc8cd8d8b00 |
|
VISUAL
wHash
|
047c30206c45ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,4cccccc0c8cd8d8b |
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.