Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB433E739042D82742D799C45237132A73A99389C9430648FAF5D7BDBBEBDACDA73120 |
|
CONTENT
ssdeep
|
1536:w1LA+Dnsu0Y+3X/QeKCy/CSXgUWtJIXFUZasIxr7mjgaRCo:2L2UKZaH7g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
966ee931ac1fc096 |
|
VISUAL
aHash
|
0000340406060eff |
|
VISUAL
dHash
|
96c4c4c48cccdcb8 |
|
VISUAL
wHash
|
027074744e6e0eff |
|
VISUAL
colorHash
|
3ac00002000 |
|
VISUAL
cropResistant
|
f0fcc9d9e2d2e0f0,c4cc8ccccc1cd880,86c4c4c5cc8cccdc |
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 442 techniques to evade detection by security scanners and make reverse engineering more difficult.