Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB935933421935270537C2D530A95B77E2969E5FFAA70B010EECD7FB2BEACA0745A019 |
|
CONTENT
ssdeep
|
384:oV/v1yKxZ/0WxFThqsPQDewxJnjTOb02LkA+INCBa4wZXgwnViIK/ALMamy:UxZ/DFTksPhwfjTOIhIEBa4QjViJJy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ac3633d92f061 |
|
VISUAL
aHash
|
effb8f8f8387ffff |
|
VISUAL
dHash
|
2b3a3e3c3b1e2716 |
|
VISUAL
wHash
|
878b8787838787e6 |
|
VISUAL
colorHash
|
07007000200 |
|
VISUAL
cropResistant
|
2b3a3e3c3b1e2716,c387c7c3b3733198 |
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.