Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144B284F5A152A63712B352E2697F677A71E2C188C947021447FD83B40BF8D16FC2EC99 |
|
CONTENT
ssdeep
|
384:FOM3sviaTLX8JuHzLs9fnAcecWlaAjtYYK+e4bpvkYhrDUy44UDr15NIuxB6GsZG:cM3i/ssa+EeJuv6xX0zv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c23467b4e59c963c |
|
VISUAL
aHash
|
46607c7c7c7c3c30 |
|
VISUAL
dHash
|
c4ccecd4d8c8d4cc |
|
VISUAL
wHash
|
46607c7c7c7c3c70 |
|
VISUAL
colorHash
|
38018000400 |
|
VISUAL
cropResistant
|
c4ccecd4d8c8d4cc |
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 72 techniques to evade detection by security scanners and make reverse engineering more difficult.