Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE1233E1E060ED3B0B1685C9F7BA6B5F3671C745CB47099153F493AAABCAC70CB21489 |
|
CONTENT
ssdeep
|
192:QvktXVkHkCRnzYBr98iIfKd5keAyTXUYyTkESfxkzQ5k7MnyP8F:QvktXVkHkCzo915nkeAcXUYckESp3k7K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83887c7c7ce3838 |
|
VISUAL
aHash
|
ffcf8fcfffffff7f |
|
VISUAL
dHash
|
429e9e1e469000d0 |
|
VISUAL
wHash
|
8183808080fcf030 |
|
VISUAL
colorHash
|
070020000c0 |
|
VISUAL
cropResistant
|
429e9e1e469000d0,8105594141617129 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.