Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1274311318406A93B4EDB96C5D9395758A2DD8307C71B4548FBF9C3A98F8EE38E93B110 |
|
CONTENT
ssdeep
|
768:R8Ip/eeeSeeekeeefeeeqZaQAs6s66zERPasIx/jBUf7q:j/eeeSeeekeeefeeeHHXX6zERSsIxS7q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f4b83895970b9639 |
|
VISUAL
aHash
|
1fc3c0f4f6360380 |
|
VISUAL
dHash
|
f71e8dc844e42a2c |
|
VISUAL
wHash
|
1fc3c0fef6360384 |
|
VISUAL
colorHash
|
06006000080 |
|
VISUAL
cropResistant
|
f71e8dc844e42a2c,0cc6e5e2e22c4cfc,fb0b53595959130c,ad271903264c4993,642a101010202000,53b211c9c9da33b3,1f274371d9c173b3,48b11933b2332571 |
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 269 techniques to evade detection by security scanners and make reverse engineering more difficult.