Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAA37A33415835274437C6D530A95B3BE2E68A5FFAE70A010EECD7EA1BFACA0745711A |
|
CONTENT
ssdeep
|
768:OedG6h+uLz4NP3+mZY9svblTOCVrZLz7PIAvqIFtiuCa28y2OZL:HPLz4NP/y9svbliCdVTFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272d43a9169e547 |
|
VISUAL
aHash
|
00000000000000ff |
|
VISUAL
dHash
|
1c2c4059cdcf69f8 |
|
VISUAL
wHash
|
00c4f0300f07ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
6900a080303080a0,9c2cc048d9cd0f61 |
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.