Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D233A726732B8B843DB91EEE73C2D55B2D2988DF8C74554B5C99A8D13C3C802297BB4 |
|
CONTENT
ssdeep
|
768:ae+EsZx8/G87S4iDawFMbBKwgMbBLCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAzW:ae+EsZ/87liDawFMbBKwgMbBeN2/y9dv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0409d15e26fbe3b |
|
VISUAL
aHash
|
ff0e0060000003ff |
|
VISUAL
dHash
|
ccdc01808012f200 |
|
VISUAL
wHash
|
ff7e007040003fff |
|
VISUAL
colorHash
|
3a038000000 |
|
VISUAL
cropResistant
|
000c0810200c0e30,8800428c8dc20090,8a4a2d9d99a96115,134d6cb6366c4d87,3800000000000000,cc9c0aa08194baf2 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.