Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16EF111F0E444ED37435385D9A7B56B0F7392C349CF031A45A7F883AB5BDAC60CA12599 |
|
CONTENT
ssdeep
|
96:TkjvQnbzDJ1ti1At8v67Zvua2SS8L2wvFuQehXIHF9epXZ+B/JGytFH6Dd2J:QjvQnbzDJ1k1At8iJn7SKi30Yy3Hsdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcb4439b9913c6e4 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
2a27273f00400000 |
|
VISUAL
wHash
|
ffd7d3cfdf000000 |
|
VISUAL
colorHash
|
07031000000 |
|
VISUAL
cropResistant
|
223a272707bb3642,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.