Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100936933421935270537C2D530A95B77E2969E5FFAA70A010EECD7FB2BEACA0745B019 |
|
CONTENT
ssdeep
|
384:Al/vfoyKxZ/0WxFThqsPQDewxJnjTOb02LkA+INCBa4wZXgwnViIgJ6Yrmy:nxZ/DFTksPhwfjTOIhIEBa4QjViSy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccc3393d330 |
|
VISUAL
aHash
|
ffcfc78783dfffff |
|
VISUAL
dHash
|
2b1b180b0b2c2716 |
|
VISUAL
wHash
|
87818787818ff3e6 |
|
VISUAL
colorHash
|
07007000200 |
|
VISUAL
cropResistant
|
2b1b180b0b2c2716,37276252d60404c8,139393852565c961 |
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.