Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAB3EE23426976264437C3C134695B3BE2A6998FFAE70A404EECC7F72BF9C90745A11D |
|
CONTENT
ssdeep
|
1536:VGyStpR4nXBKpSpFl26vPSZONIInKSqMITQ4:VgUMKIEKSqdQ4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93076d13930f6d2d |
|
VISUAL
aHash
|
001f036e6e0f01e7 |
|
VISUAL
dHash
|
ddbf76dcdcbcf70f |
|
VISUAL
wHash
|
000f037f7f0f01ef |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fda77cd8dcbde70f,dcbd67dcdcdcb777,536b8c6b63dc5555,2e470513161c3424,cc110c32320c0121 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)