Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13FD2A632B420563B42E7C1C8B7B27B2E72E3824ADA49144496FD83B94F97E08DD37795 |
|
CONTENT
ssdeep
|
768:verDj5xXejuektGbrbuTwTuO7sOy2+y9BH4cLIe:wjrFerbdTuO7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c30bb53af029bc8e |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c8c8c0c0c8c8c100 |
|
VISUAL
wHash
|
003870f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
028080004c888000,49c8c0c0c8c89cc0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.