Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148235B726332B8B843DB91EDF7382A45B2D2589DF8CB4554B5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aM+EsZx8/G8U54XDawPMqBZMwUMqBZ7w9r82+/9dtZkDieE565ThHEnnvdhfePqR:aM+EsZ/8U6XDawPMqBSwUMqBBwh82+/P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fad0eccd9192c4e4 |
|
VISUAL
aHash
|
ff81858d81818181 |
|
VISUAL
dHash
|
23414d49494d0109 |
|
VISUAL
wHash
|
ff81e5ed81e98181 |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
23414d49494d0109,3fdede8e64c6d0e0,23828c89c8ca21a8 |
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)