Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162235A726722B8A843DB91EEF7382956B2D2489DF8C74510F5C95ACD23C3C817297BB4 |
|
CONTENT
ssdeep
|
768:aTgF4+EsZx8/G8+42DawGMvBUwhMvBtwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqD2:ab+EsZ/8p2DawGMvBUwhMvBtw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3fc0c07ec4c06a |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
4d7571715d000000 |
|
VISUAL
wHash
|
8101018181ffffff |
|
VISUAL
colorHash
|
16007000000 |
|
VISUAL
cropResistant
|
4d7571715d000000,86cfb3f179b3f7aa |
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.