Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC935833421935270537C2D530B95B77E2969E5FFAA70A010EECD7FB2BEACA0745A019 |
|
CONTENT
ssdeep
|
384:Ca/vr1yKxZ/0WxFThqsPQDewxJnjTOb02LkA+INCBa4wZXgwnViIb7BA1tH:9xZ/DFTksPhwfjTOIhIEBa4QjViXF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ac70f31e29c2c |
|
VISUAL
aHash
|
efff8f87838fffff |
|
VISUAL
dHash
|
2b3a3c3b3b3a8f16 |
|
VISUAL
wHash
|
878b8787818f93e6 |
|
VISUAL
colorHash
|
07006000200 |
|
VISUAL
cropResistant
|
2b3a3c3b3b3a8f16,96b6054ecbcc6b7b |
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 157 techniques to evade detection by security scanners and make reverse engineering more difficult.