Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148936933421935270537C2D520B95B77E2969E4FFAA70A010EECD7FB2BEACA0745B119 |
|
CONTENT
ssdeep
|
384:fT/vryKxZ/0WxFThqsPQDewxJnjTOb02LkA+INCBa4wZXgwnViICkvWw9M:nxZ/DFTksPhwfjTOIhIEBa4QjViP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b732cd0936e6c329 |
|
VISUAL
aHash
|
e78be78783cfffff |
|
VISUAL
dHash
|
0f3a0c2f1b1a2f16 |
|
VISUAL
wHash
|
8783c787838f83e6 |
|
VISUAL
colorHash
|
07007000200 |
|
VISUAL
cropResistant
|
0f3a0c2f1b1a2f16,071b91801c1a3a30 |
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.