Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137A31A7241484A37A6A75399FB20B77770FC25BCEF68C010E88DE3A622C5DD5D43AAC4 |
|
CONTENT
ssdeep
|
768:CxzXGutQW8fc5Wa8OAm1U59ckqv9z7INhi5MSUtXZ8sEMMm:CxzOY1olqv5mid2Xqm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2c22d3d3911ba3f |
|
VISUAL
aHash
|
70fcfc7e80c00000 |
|
VISUAL
dHash
|
c3c4c8c83408d0d0 |
|
VISUAL
wHash
|
f97cfc7e80f80070 |
|
VISUAL
colorHash
|
38001000e00 |
|
VISUAL
cropResistant
|
42d293109199b0a4,ccceca8a888e8c88,01c080aaaa80c800,c3c4c8c83408d0d0 |
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 65 techniques to evade detection by security scanners and make reverse engineering more difficult.