Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD935933421935270537C2D530A95B77E2969E5FFAA70A010EECD7FB2BEACA0745B019 |
|
CONTENT
ssdeep
|
384:e7/vJyKxZ/0WxFThqsPQDewxJnjTOb02LkA+INCBa4wZXgwnViIoh37shfmy:UxZ/DFTksPhwfjTOIhIEBa4QjVi9rS+y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38c72739909667 |
|
VISUAL
aHash
|
efff8f8f8387ffff |
|
VISUAL
dHash
|
2b3a3c3b3b2c8716 |
|
VISUAL
wHash
|
878b8f87818787e6 |
|
VISUAL
colorHash
|
07006000200 |
|
VISUAL
cropResistant
|
2b3a3c3b3b2c8716,9193939313792e3e,1f3f2e0f1d0f5a36 |
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 159 techniques to evade detection by security scanners and make reverse engineering more difficult.