Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114A37933415835274437C6D530A55B3BE2E68A9FFAE70A010EECD7EA1BFACA0745711A |
|
CONTENT
ssdeep
|
768:1edG6oqXLz4NP3+mZY9svblTOCVrK3gOKFK0FtiuCa28y2OZL:5gLz4NP/y9svbliCdGZkFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372d43a9949e543 |
|
VISUAL
aHash
|
00000000000018ff |
|
VISUAL
dHash
|
9c0c4849cdcf61f8 |
|
VISUAL
wHash
|
80c4e0300f07ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
6900a080303080a0,9c2c4848d9cdcf61 |
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.