Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4A33322C1803A37419792C4BA74AF3EA293424ED90A0A054EB5871D7EF7DB1FE5D72D |
|
CONTENT
ssdeep
|
1536:1uZ8Q3cq2PfAnHshB8x0RuIrknRZcAQUuKw5Z:1u7V24MYuiwv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb3b94c5c19c94c3 |
|
VISUAL
aHash
|
ff818181c1f3ffff |
|
VISUAL
dHash
|
3b2b3b1b53232b04 |
|
VISUAL
wHash
|
ff81818181f183ff |
|
VISUAL
colorHash
|
07000000046 |
|
VISUAL
cropResistant
|
3b2b3b1b53232b04,00040c1369899985,00018486482c6400 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.