Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A234A726732B87843DB92DDF7393D46B2C69889E8C74590B5C996CD23C3C816287BB4 |
|
CONTENT
ssdeep
|
768:a5+EsZx8/G8U3RsJDVw1M6BGwQM6Be3Ucix+y9dQpUDF1E56ITmHTCd3m6DPqDvV:a5+EsZ/8UBuDVw1M6BGwQM6Be3UXx+yd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb6ec43b919566c0 |
|
VISUAL
aHash
|
818181818181ffff |
|
VISUAL
dHash
|
69010f5f1b5d0800 |
|
VISUAL
wHash
|
c58181838381ffff |
|
VISUAL
colorHash
|
1be00008000 |
|
VISUAL
cropResistant
|
69010f5f1b5d0800,acae99a9a8b13323,6830888a9a9a9a5a |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)