Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C23D8103210B79B58320F75B38B709AC0DFC345FAE699ADB2985351A8D64368787DBE |
|
CONTENT
ssdeep
|
768:gh5KFMOFM+FM9FMHFMNFMKFMWFMXrFRYPUPQnWy8RP5PXPljPRfAPTPUN:gh5KSOS+S9SHSNSKSWgrDYCNfxN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1319e8635d9cd64 |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
7196969696001640 |
|
VISUAL
wHash
|
00c3c3c3033fcf0f |
|
VISUAL
colorHash
|
06080003200 |
|
VISUAL
cropResistant
|
7196969696001640,ccf09a82deb29696,ccb02b2bd00d8fb1,8cb89e3adce8aa8e,0dd5d555f5f57161 |
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 357 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)