Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131A31AE0E144ED5300B34086B05FEAC9B76A441FFA5D0E907A5CCAC9B6DA83B45B37A5 |
|
CONTENT
ssdeep
|
1536:ziS963bBVdL3fPcPI/KWFYWWsd3qizQ2N0msQw:zi0UVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
921353e5e5654c5d |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
c8d8f82436363e34 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0f201008080 |
|
VISUAL
cropResistant
|
d8f8f81636373e34,d6d859d8f8f8f8e0 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)