Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4234B726732B8B843DB91EEF73C2D55B2D2988DB8CB4554B5C95A8D13C3C802297BB4 |
|
CONTENT
ssdeep
|
768:aOa2+EsZx8/G8I94QMDawHMSBqwsMSBDqN2/y9dGDTDiJE56ITmH+LCBlvNPqDv7:aOa2+EsZ/8I2QMDawHMSBqwsMSBON2/n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0049f91e0ee3f3b |
|
VISUAL
aHash
|
ff0000000000ffff |
|
VISUAL
dHash
|
ccdc018080b40000 |
|
VISUAL
wHash
|
ff7e00600000ffff |
|
VISUAL
colorHash
|
33038000000 |
|
VISUAL
cropResistant
|
000c0810200c0e30,8800428c8dc20090,8a4a2d9d99a96115,134d6cb6366c4d87,0000000000000000,cc9c0da08581a4b8 |
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.