Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADA37A33415935274437C6D430A55B3BE2E68A9FFAE70A010EECD7EA1BFACA0745711A |
|
CONTENT
ssdeep
|
768:ledG6nAXLz4NP3+mZY9svblTOCVrlq2yZ7EM3GvFtiuCa28y2OZL:IeLz4NP/y9svbliCdof0FtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272d53a9149e54b |
|
VISUAL
aHash
|
00000000000018ff |
|
VISUAL
dHash
|
1c0c4849cdcf61b0 |
|
VISUAL
wHash
|
00c4f0300f07ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
6100a080303080a0,9c0c4860c9cdcf21 |
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.