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We consider the random vector $u(t,\underlinex)=(u(t,x_1),\dots,u(t,x_d))$ 
, where t > 0, x1,...,xd aredistinct points of $\mathbb{R}^2$ 
and u denotes the stochastic process solution to a stochastic waveequation driven bya noise white in time and correlated in space. In a recent paper byMillet and Sanz–Solé[10], sufficient conditions are given ensuring existence andsmoothness ofdensity for $u(t,\underline x)$ 
. We study here the positivity of suchdensity. Usingtechniques developped in [1] (see also [9]) basedon Analysis on anabstract Wiener space, we characterize the set of points $y\in\mathbb{R}^d$ 
where the density ispositive and we prove that, under suitable assumptions, this set is $\mathbb{R}^d$ 
.
