Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A322BF62220357F02278BE8F952E39DF54F928CD9625984E57843B937C7DA0D81A538 |
|
CONTENT
ssdeep
|
192:54N9lOeuAoMl8sR/EB5Ux7jF8jNZ9R/SefHZi7K/GfFTNy:2lOecMl8sRcy7jejNDR/bvUG/UNy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecdbc19a2cc36c2c |
|
VISUAL
aHash
|
f2f2f3f393f3f3f3 |
|
VISUAL
dHash
|
159447673625a426 |
|
VISUAL
wHash
|
f0f0f1b090f0f2f2 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
159447673625a426,969191cb172d7a64 |
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 7201 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.
Pages with identical visual appearance (based on perceptual hash)