Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126C3253083911632C99393C4FBF5978B5164834AC7670D88B3F45726BFCBCA8EE16996 |
|
CONTENT
ssdeep
|
1536:ZWodRtSx/+/0t1q7TLqeee2eeeDeeeyeeeEeee7eeeDeeeXeees1okxkeSE61NwW:EytS0nWokxkbE61ZBZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b38538b46c6ff122 |
|
VISUAL
aHash
|
030f6f676eff0009 |
|
VISUAL
dHash
|
2339d9cacc9c7919 |
|
VISUAL
wHash
|
010f2f6feeff0009 |
|
VISUAL
colorHash
|
13c00008000 |
|
VISUAL
cropResistant
|
2339d9cacc9c7919 |
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 522 techniques to evade detection by security scanners and make reverse engineering more difficult.