Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105F1F6EB5260972E5192C1ACFF62F0D0924ED09FE6A6DAD0D7AE87B504D7CE0F852810 |
|
CONTENT
ssdeep
|
192:bW132vVM3H/IngDLijywAcQSyUZxBcFL/W:aZcVrgD+2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8407863713bf5ae |
|
VISUAL
aHash
|
0000ffffffff83ff |
|
VISUAL
dHash
|
82b29618e0575725 |
|
VISUAL
wHash
|
0000f3ffffff8100 |
|
VISUAL
colorHash
|
0e1c0010000 |
|
VISUAL
cropResistant
|
b69619c5c8577765,008292929200b2b2,672723373735754d,5154646464262a4b,656565092a2f6766,a4eced53ab2b3317,9a9953434a475404,72525b4b4b495a60,e9695595b5d5ce49,e6e2eb4b5a5ab9ad,a52545697414ce2b,8d365654d5ddcc80 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.