Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191935833421935270537C2D530A95B77E2969E5FFAA70A010EECD7FB2BEACA0745B019 |
|
CONTENT
ssdeep
|
384:TOl/vryKxZ/0WxFThqsPQDewxJnjTOb02LkA+INCBa4wZXgwnViIq9m/my:4xZ/DFTksPhwfjTOIhIEBa4QjVicey |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ac3673590962e |
|
VISUAL
aHash
|
efdb8f8f838fffff |
|
VISUAL
dHash
|
2b323c3b3b2c2716 |
|
VISUAL
wHash
|
878b8f87838797c2 |
|
VISUAL
colorHash
|
07006000200 |
|
VISUAL
cropResistant
|
2b323c3b3b2c2716,3f2f2e2b0d4f2716 |
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.