Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC61347080049C3B4542D6D4DAB82F2B62C6C315CB035A89D3F887BD5FEBE94CC646A5 |
|
CONTENT
ssdeep
|
48:EtupqIcQchcBclcCZLtOTtrBW0trft0SPDi06aiGtBhFlUxKlXHKa26NpdFUsV+E:UuJx46UnZL8Tf5JbmAHFlUxKlafuzA4j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89cc6666669b9999 |
|
VISUAL
aHash
|
1818181800000000 |
|
VISUAL
dHash
|
b2b2b23210080000 |
|
VISUAL
wHash
|
ff3cfcfc18080000 |
|
VISUAL
colorHash
|
380002001c0 |
|
VISUAL
cropResistant
|
8000803070800080,8040006060000080,b2b2b23210080000 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.