Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBA36933411935274437C6D130A55B3BD2A6DA5FFAA70A010EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:fpyLz4NP/y9svbliCd6ep4FtiuCa28y2O9:amAvar |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc3ad468c745 |
|
VISUAL
aHash
|
00002000000400ff |
|
VISUAL
dHash
|
0c49c2c0c8ede3b8 |
|
VISUAL
wHash
|
83ff70383c1c00ff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
808001383800a000,0e49c2c8e0c8ede3 |
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.