Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154126173A600DD2A8D9B45C8F2C49689412DC346FB314CCAB1A482FF7BC0DF165997AE |
|
CONTENT
ssdeep
|
192:QA8AdwYIaDfwZGuxFDxY3RMcnthWeNWbnfMmUU8VCo+jG:lXIj43mfMmUFCo+q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d90ce64cf333cc23 |
|
VISUAL
aHash
|
10181818181800ff |
|
VISUAL
dHash
|
32b2b2b2b2b2710e |
|
VISUAL
wHash
|
18183c3c3c3c3cff |
|
VISUAL
colorHash
|
01000000007 |
|
VISUAL
cropResistant
|
6ced7155dfd62329,2cc919797952c9cb,836780363680a6a2,0000010000000000,32b2b2b2b2b2324c |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.