Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164234A726722B87843DB92EEF7382D46B2D6549DE8C74450F5C99ACD23C3C816287BB4 |
|
CONTENT
ssdeep
|
768:aFH4Q+EsZx8/G8nRsYDVwmvM+BgwrM+B83Ucix+y9dQpUDF1E56ITmHTCd3m6DPG:ar+EsZ/8RhDVwWM+BgwrM+B83UXx+y9b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3ac0c8c3c73374 |
|
VISUAL
aHash
|
fd8f879fbf8fdfff |
|
VISUAL
dHash
|
493d3d7975393737 |
|
VISUAL
wHash
|
ad9f878f81818397 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
493d3d7975393737 |
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)