Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B33687621466B3F108341E5A71CEA2AD3C5D649CBA34E87F6E8C33761CADB0EE35194 |
|
CONTENT
ssdeep
|
768:1uHSKCO6aC+BKmB/2BQeRd2WWCCqWlPNHSKCO6aC+BKmB/2BQeRd2WWCCqWlPHRP:QrlR0pyeaWAt0vxTAa8P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1ce7c3f0189ab8 |
|
VISUAL
aHash
|
ff939f9fdfffffff |
|
VISUAL
dHash
|
cb2e3131b1e9194d |
|
VISUAL
wHash
|
01031c1c5c1cffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb2e3131b1e9194d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)