Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F735BB9B4C0B61205F340E271AF2A07B37D450F681D4970E658DBDEB1E4869A0B7BDA |
|
CONTENT
ssdeep
|
1536:cIs+BB2bnfzBLcGs9HsLbetS/7iwE12zQ2N0msQw:cI9BG0aSAVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e969399616d247c5 |
|
VISUAL
aHash
|
0081c1ffffffffc3 |
|
VISUAL
dHash
|
171303230c0f1f8e |
|
VISUAL
wHash
|
008181d3ffefff00 |
|
VISUAL
colorHash
|
07400008180 |
|
VISUAL
cropResistant
|
131303230c0e1f8e,d417331313130323 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.