Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A093737B4140ED3F0692B3D8C91B7E09F29D5085EA024EECD2DAC28D6ACEF65C93594D |
|
CONTENT
ssdeep
|
768:pEjlU1wMvAxpXgjKOHzJWadQGLTsmS0HU1weU1wxU1w8HU1wyU1wRU1wkU1w4U1z:Gy6+TBS09bLV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c39b386de664b066 |
|
VISUAL
aHash
|
000c7c7e7c280066 |
|
VISUAL
dHash
|
8659c8ccc8dad0d4 |
|
VISUAL
wHash
|
002c7e7e7e7c007e |
|
VISUAL
colorHash
|
30007000080 |
|
VISUAL
cropResistant
|
9455556992a5054a,272f9cb031315b4a,8659c8ccc8dad0d4 |
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 126 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)