Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119A37A33411935274437C6D530A55B3BD2E6DA4FFAA70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:4zeXy5N3S/zxLz4NP3+mZY9svblTOCVrHl2YTxZ1FtiuCa28y2OZL:dxLz4NP/y9svbliCd8YNFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c377fc3a9529c111 |
|
VISUAL
aHash
|
00002000000001ff |
|
VISUAL
dHash
|
0c4cd6cacccd9398 |
|
VISUAL
wHash
|
80e6fe202400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0000a08138188090,940cc4d6c8ccc5a3 |
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.