If $3$ is an eigenvalue of $A$, then the corresponding eigenvectors satisfy
$(A-3I)\mathbf{x} = 0$.
Let $\mathbf{x} = \begin{pmatrix} x_1 \ x_2 \ x_3 \ x_4 \end{pmatrix}$. Then from
$A - 3I = \begin{pmatrix} 1 & -2 & 0 & 4 \\ 0 & 0 & 1 & -3 \\ 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 \end{pmatrix}$
we get the system
$x_1 - 2x_2 + 4x_4 = 0$
and
$x_3 - 3x_4 = 0$.
Since $x_2$ and $x_4$ are free variables, let
$x_2 = s$ and $x_4 = t$.
Then from $x_3 - 3x_4 = 0$, we get
$x_3 = 3t$.
From $x_1 - 2x_2 + 4x_4 = 0$, we get
$x_1 = 2s - 4t$.
So the eigenvectors are all vectors of the form $\begin{pmatrix} 2s - 4t \\ s \\ 3t \\ t \end{pmatrix} ; s,t \in \mathbb{R}$.