Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110230A3204C07B2B06C343C5A352EF0BF2919185E63AD69AF2E5D31EA6C4DD4CC7BA58 |
|
CONTENT
ssdeep
|
768:ruihU3oDqmpby0oFmRtgKb35aKztoNQht1P30e1pcnIDO/QKrbn1hSLdufg6NI8f:ruiu3oDqmpy0EmTgKb35aetoGhrvpvDI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebcac9eac996 |
|
VISUAL
aHash
|
fd06060606ffffff |
|
VISUAL
dHash
|
71ecccecec2c2813 |
|
VISUAL
wHash
|
fd0606060606fffb |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
0001496161490162,96d6e8b294710f8e,c01c3c2d2d3c1313,ecec8cccecececec |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)