Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFC2E8118C40240C474582F2F5D1FF6A729E5382DB132FA293A48FBEBDC46E7AE2655D |
|
CONTENT
ssdeep
|
384:prxU32tXKzVRVI3RBRmxyRGRtxd2RZR8RxxfRnXBTRjROewJGd7KaqMjYHDPbF0T:L2tIC/HxuEwMJl87sUCp4oGrG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce9acc3c716c3165 |
|
VISUAL
aHash
|
183c3c1800003820 |
|
VISUAL
dHash
|
706168f0c4f4f064 |
|
VISUAL
wHash
|
ff3c3c3c24243c3c |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
0021c6c6c4210000,706168f0c4f4f064 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.