Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179235A726332B8A843DB91EEE7382956F2D6589DF8C74414F5C95ACD23C3C806293BB4 |
|
CONTENT
ssdeep
|
768:aw+EsZx8/G8U4SDat8M7BvtSM7Bp7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvts:aw+EsZ/8PSDat8M7BvtSM7Bp7UXx+y9T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3ac2c8c3c73370 |
|
VISUAL
aHash
|
fd8f879fbf8fdfff |
|
VISUAL
dHash
|
493d3d7975393637 |
|
VISUAL
wHash
|
ad8f878f81819397 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
493d3d7975393637 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)