Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153A38B33411935274437C6D530A55B3BD2A69E4FFAA70A010EECD7EB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:pF3Lz4NP/y9svbliCd2HIvqFtiuCa28y2O9:3mAZC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c762bd3a956bc508 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
9c8cc6cac8cdc3a8 |
|
VISUAL
wHash
|
00e7f3700400ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
e0088081185880a0,940cc6c2e0c8c5c3 |
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.