Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116A37833415875274437C6D530A55B3BE2E68A9FFAE70A010EECD7EA1BFACA0744711A |
|
CONTENT
ssdeep
|
768:MedG6WcXLz4NP3+mZY9svblTOCVrXZeDsaRl6EFtiuCa28y2OZL:uyLz4NP/y9svbliCd8D1FtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372d43a8c4de543 |
|
VISUAL
aHash
|
00000000000018ff |
|
VISUAL
dHash
|
1c0cc869cdcf69f8 |
|
VISUAL
wHash
|
c0c4e0002f07ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
6914a881303080a0,9c2c4848e9cd4f61 |
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.