Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130B2A532A154263F41A383C8B761F72EA2F39289DBCA141553F8935D4BDBF50ED2352A |
|
CONTENT
ssdeep
|
384:b8gy5NsjRgfe9Vmb3OTHlQKIIIIIIT/z5vFTUNtaW/kWDDyMEDN4IYsOy2+y9BHB:ogy5NsazMPIIIIII3TaoWXDTE27sOy2t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f22fad10d449c3d6 |
|
VISUAL
aHash
|
000120000400ffff |
|
VISUAL
dHash
|
9f0f4d516c8cd100 |
|
VISUAL
wHash
|
0087f5c00e04ffff |
|
VISUAL
colorHash
|
32001400200 |
|
VISUAL
cropResistant
|
8629069696680482,1080800030908000,871f4d4970ec8cd1 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)