Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16EA38A33411835274437C6D530A55B3BE2A6994FFEA70A010EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:0Svy5NwEhxgLz4NP3+mZY9svblTOCVrIk37IbCqFtiuCa28y2OZL:8ILz4NP/y9svbliCdQTFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362f53e9c2d8c43 |
|
VISUAL
aHash
|
00000000000000ff |
|
VISUAL
dHash
|
8cc8c0c8cde7ced2 |
|
VISUAL
wHash
|
40e478602f0767ff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
c280810030108080,8cc8c0cac8c52fce |
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.