Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A472647181C68DBB12A384E5E37A574AE291CB90EC53CA02D6F45F0C7A8DE7BCD23115 |
|
CONTENT
ssdeep
|
384:nQ44Y/d5XkwN2fNVnkxbH9pawheuUu3Hf6Wg2YkLvO70g:Q44ad9bNPaF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1a42e3c61723e3f |
|
VISUAL
aHash
|
007e3e6e5e101824 |
|
VISUAL
dHash
|
91d4ecdcd23271c8 |
|
VISUAL
wHash
|
407e3e7e5e12383c |
|
VISUAL
colorHash
|
30007000040 |
|
VISUAL
cropResistant
|
91d4ecdcd23271c8 |
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 280 techniques to evade detection by security scanners and make reverse engineering more difficult.