Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8A37B33411935274437C6D530A55B3BD2A6D98FFEA70A010EECDBEA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:+gyqXLz4NP/y9svbliCdpKtk1FtiuCa28y2O9:rmAQK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363f53ad528d44c |
|
VISUAL
aHash
|
00000000000400ff |
|
VISUAL
dHash
|
1c49c0f0f1f939f0 |
|
VISUAL
wHash
|
02bf3f380c1f00ff |
|
VISUAL
colorHash
|
11010000c00 |
|
VISUAL
cropResistant
|
588081303800a080,1e5942f0d0f9fd33 |
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.