Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B328233E600DD2A8D6BA1C8F1C496885159C309FB3148C6B1B491FF7BC4CF169A97AE |
|
CONTENT
ssdeep
|
192:OYcac4Bil3rr2zl4fk0xQMcnthWeNWbnfMmUU8VCo7Y:5cac4BiJrr2zyffMmUFCo7Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9dc94a7623762276 |
|
VISUAL
aHash
|
191b1b1b07060607 |
|
VISUAL
dHash
|
b3b3b2b27ef4fcfd |
|
VISUAL
wHash
|
191b1b1f0f0f0f0f |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
9b5ab6ac9870c081,d2c0f2b2a03159da,f9b9b97b6f7afef4,6c78d8b060c00006 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.