Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2A37A33411935274437C6D530B55B3BE2A6D94FFAA70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:k7cv/k8Lz4NP/y9svbliCdMBFtiuCa28y2O9:ZmAs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc3a9d2ad123 |
|
VISUAL
aHash
|
00000000000001ff |
|
VISUAL
dHash
|
14c4cac2c8cdd3a8 |
|
VISUAL
wHash
|
00ffe1302004ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
2204a081185880a0,1484cacae0c8cdd3 |
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.