Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF226133A600DD2A8D9B559CF1C0964D415EC346FB3148C6B2A481FF7BD4CF0A9A97AD |
|
CONTENT
ssdeep
|
192:Qy3J4V9dmUdnxyAx7zxmMcnthWeNWbqVFLfMmUU8VCodL:omUKVFLfMmUFCodL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c9c3331926cbce |
|
VISUAL
aHash
|
ffcfdb838183c3f7 |
|
VISUAL
dHash
|
131b2b373b0f0f2e |
|
VISUAL
wHash
|
ffcb9981818183e7 |
|
VISUAL
colorHash
|
07000030001 |
|
VISUAL
cropResistant
|
131b2b373b0f0f2e,100c32b2b2320c10 |
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.