Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7A38B33415975274437C6D030B65B3BD2A6D94FF9A70A010EECD7FA2BFACA0745A11A |
|
CONTENT
ssdeep
|
1536:LVLz4NP/y9svbliCdwsD0uxAjDe6v3FtSuCa2jG2Ai:LNmAXDQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936bed129c6d9213 |
|
VISUAL
aHash
|
008000000c0400ff |
|
VISUAL
dHash
|
0d094b63dc5c23b8 |
|
VISUAL
wHash
|
c0efe3110e3e00ff |
|
VISUAL
colorHash
|
31400038000 |
|
VISUAL
cropResistant
|
fefeff9f9ffffefe,00008001583a8090,0d094b4be3dccc31 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.