Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184124F23E600DD2A4D9B96C8F1C09589451DC345FB3188C6B1A091FF7BC5DF0B9A97AE |
|
CONTENT
ssdeep
|
192:x49odR6+kNxyvxJMcnthWeNWbnfMmUU8VCor:hR6xfMmUFCor |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8701a8e85d57e6ea |
|
VISUAL
aHash
|
3f3f262caeffffff |
|
VISUAL
dHash
|
cccccc5c5c004800 |
|
VISUAL
wHash
|
2726240000fffffe |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
cccccc5c5c004800,7fbf4f2f26261717,049823448a142851 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.