Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D73757280B1E53F015FF2D1A3387B09D283834BC79A0BF5A7FC82695B85E959D23529 |
|
CONTENT
ssdeep
|
768:PvyAb2OzOs3EwM6GiMEN/f/VPF47G/FIp6LwQL+4/LJ7S4Aw6DRUvRcs:XD2OzOs3EwM6GpMdT/++ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83a306dcf92e532 |
|
VISUAL
aHash
|
878181ffbdc183ff |
|
VISUAL
dHash
|
3f1f1f7123332f0d |
|
VISUAL
wHash
|
838181ffb98181ff |
|
VISUAL
colorHash
|
0e000000007 |
|
VISUAL
cropResistant
|
a0e0a282baa869e8,3f1f1f7123332f0d |
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 528 techniques to evade detection by security scanners and make reverse engineering more difficult.