Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6A37A33411935274437C6D430BA5B3BD2A69D5FFDA70A010EECD7EA2BFACA0745A11A |
|
CONTENT
ssdeep
|
1536:sdLz4NP/y9svbliCdwFUM4XFtSuCa2LG2Ao:EmASMh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc3ad54ac52a |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
9e08c2c2e8c8e1ac |
|
VISUAL
wHash
|
00eff07020247fff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
e10084816e6e82a8,9618cac2c2c8c9e3 |
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.