Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADA36A33415835274437C6D530A55B3BE2E68A9FFAE70A010EECD7EA1BFAC60745B11A |
|
CONTENT
ssdeep
|
1536:S0GLz4NP/y9svbliCd6JlFXFtiuCa28y2O9:P4mAJba |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272d43a994de543 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
1c0c4849cdcf61f0 |
|
VISUAL
wHash
|
00c4f0300f07ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
6900a080303080a0,9c0c4848d9cdcf61 |
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.