Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4A38933411835274437C6D530A55B3BE2E6995FFAE70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:c7r6PgM154BHVcLfQLnsGWcWM/a7IpsjLz4NP/y9svbliCdLWFtiuCa28y2O9:9mA+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c762b929cd46d632 |
|
VISUAL
aHash
|
00002430000024ff |
|
VISUAL
dHash
|
cc90ccc4c0e0ccdc |
|
VISUAL
wHash
|
00007e743838ffff |
|
VISUAL
colorHash
|
39000000418 |
|
VISUAL
cropResistant
|
4400a081303080a0,cc12ccccc0c0c0cc |
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.