Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9A37933411835274437C6D530A95B3BD2A69E4FFAA70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:urLz4NP/y9svbliCdHEJWFtiuCa28y2O9:2mA3L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c242c53a952fbd3a |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
ccc4c8c8cd8dc3c4 |
|
VISUAL
wHash
|
74fc30206c6570ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
c4c00081303080a0,c8ccc8e8cccd8dc4 |
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.