Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101725093F6025D53116B0AD6F00679CD80D907CFCB9909F566F90BE8F6B2CF46A29A80 |
|
CONTENT
ssdeep
|
96:CCyvKXP7OAmqfxN8UUV3yUYCB5IZhM45Ad35Nga7pmEmqmPmcYYHZpsozkT7vsQo:YvDgT8UsE/Ibl8oZxPR83wj0Vopbk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9c93c3cc3c33c3c |
|
VISUAL
aHash
|
0000007e3c000000 |
|
VISUAL
dHash
|
133323c0f0330e60 |
|
VISUAL
wHash
|
988098fe7f19017f |
|
VISUAL
colorHash
|
00000000007 |
|
VISUAL
cropResistant
|
9088aabaaaaa8892,814cb2a2aa028080,133323c0f0330e60 |
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 817 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)