Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160936933421935270537C2D520AA5B77E2969E5FFAA70B010EECD7F72BEACA0745B019 |
|
CONTENT
ssdeep
|
384:gU/vQyKxZ/0WxFThqsPQDewxJnjTOb02LkA+INCBa4wZXgwnViIfp8UPVVCmJFj:yxZ/DFTksPhwfjTOIhIEBa4QjViMBfCo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cd0936e6c329 |
|
VISUAL
aHash
|
ef8be78783cfffff |
|
VISUAL
dHash
|
0b3b0c2f1b1e2716 |
|
VISUAL
wHash
|
878bc787838f87c2 |
|
VISUAL
colorHash
|
07007000200 |
|
VISUAL
cropResistant
|
0b3b0c2f1b1e2716,071b91801c1a3a30 |
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.
Pages with identical visual appearance (based on perceptual hash)