Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1724110F0A0A967334767E7C77AE9E35BB5C6451DCBC712012BF983E806DAD68EC06841 |
|
CONTENT
ssdeep
|
24:hR/CCY1ZcuDflG3I6su9Q3VkWbNY+C7CNaJTAcMejhJp2vNBaImtF9a:TS/cC9eSpg+CGNaJ8cMeTpANBXCFU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
887872f9c8e87366 |
|
VISUAL
aHash
|
8103031b1b1f071f |
|
VISUAL
dHash
|
2fffefb3f3d3effb |
|
VISUAL
wHash
|
8103071f1f1f0f3f |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
2fffefb3f3d3effb |
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 507 techniques to evade detection by security scanners and make reverse engineering more difficult.