Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19F22543472503BFB21C79AF2B7A12F6A56B4C67ED127EE44A3E4824827E7D41CD52321 |
|
CONTENT
ssdeep
|
96:f4GxEoBn01C82G2YhGeLPmJvfQLmm0uAAj2fe/7Hv5QR+JcWUkqhp38ia1GlhLmN:f4Vc01Cece1L2iRmRHn38Cl2GF0ZMy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e36b494963674a1d |
|
VISUAL
aHash
|
00ffe7e7ffe7ffff |
|
VISUAL
dHash
|
23160e4d4c0e222a |
|
VISUAL
wHash
|
00c3e7e7e7670a0a |
|
VISUAL
colorHash
|
07001000c00 |
|
VISUAL
cropResistant
|
23160f4d440e222a,000830b2b2300810 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.