Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D123813831BD577B04D38BF273A56B2EA3D5C78DCB239A1AA3E8C2960B87C55CD41215 |
|
CONTENT
ssdeep
|
768:tZB815pNbVpUmPJmwDvgjJurHfVq5V1UqMljkZjk7cToYrcnB6Iy4AlSp2TCPN2d:twrN4opgjJuvTk9A0G0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
90b0496f6e9c9787 |
|
VISUAL
aHash
|
006e6ece00000076 |
|
VISUAL
dHash
|
aa949c9c9533b0ac |
|
VISUAL
wHash
|
026e6eceff08107e |
|
VISUAL
colorHash
|
30408008080 |
|
VISUAL
cropResistant
|
7dfcf0a2cc494963,aa949c9c9533b0ac |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)