Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A235B726332B87843DB91EEF7382E55B2C2589DE9CB4550F5C99A8D13C3C812297BB4 |
|
CONTENT
ssdeep
|
768:aa+EsZx8/G8AP40DawOMqBeMw9MqBe7w9r82+/9dtZkDieE565ThHEnnvdhfePqR:aa+EsZ/8AQ0DawOMqBdw9MqB2wh82+/P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3ec0c1c3c63336 |
|
VISUAL
aHash
|
fc8f879fff8fdfff |
|
VISUAL
dHash
|
493d3d3935393633 |
|
VISUAL
wHash
|
808f878f8f81939f |
|
VISUAL
colorHash
|
07030040000 |
|
VISUAL
cropResistant
|
493d3d3935393633 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)