Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156935833421935270537C2D530A95B77E2969E5FFAA70A010EECD7FB2BEACA0745B019 |
|
CONTENT
ssdeep
|
384:UF/v7MyKxZ/0WxFThqsPQDewxJnjTOb02LkA+INCBa4wZXgwnViItqGHtJmy:BxZ/DFTksPhwfjTOIhIEBa4QjViEHt0y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccc37329323 |
|
VISUAL
aHash
|
efcbc78783efffff |
|
VISUAL
dHash
|
2b3b1c0b0b2c2716 |
|
VISUAL
wHash
|
878187878197ffc2 |
|
VISUAL
colorHash
|
07206000200 |
|
VISUAL
cropResistant
|
2b3b1c0b0b2c2716,181c3f9fdc38a080 |
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.