
Release
1987
Player score
Awaiting reviews
Platform families
Not announced
Connected releases
Core game only
Game data from IGDB
Editorial overview
What it is
MASK is a vertically-viewed 2D game in which the player controls the Thunderhawk vehicle. The premise of the game is that V.E.N.O.M. have propelled Boulder Hill into a time vortex, and the player must rescue the other members of the M.A.S.K. team by collecting and re-assembling parts of a scan key, which then directs the player to the location of the missing personnel. The game received mostly favorable reviews at the time, although it was noted by some that the tie-in to the franchise was quite tenuous and only the graphics, rather than the storyline and gameplay, connected it to the M.A.S.K. franchise.
The premise
The Battle Continues!!!
Join with the forces of MASK, skillfully commanded by the brilliant strategist Matt Trakker and combat the evil of the villainous VENOM in their quest for domination of the world. No longer need you stand by and passively observe the evil deeds of Mayhem and his co-conspirators.
Here is your chance to dig deep into your cunning and put your skills to the test against possibly the greatest master criminal the world has ever seen, fact or fiction.
This classic conflict of good versus evil is portrayed with a realism and excitement that can only take its lead from the world's most famous collection of superheroes and supervillains.
There are creations of adventure, there are creations of combat but there is not a creation quite like MASK!!!
More like this
Play styles
Single player
Perspective
Bird view / Isometric
Themes
Action · Science fiction
Cinematic archive
Official footage, in-game captures, and production artwork—collected into one immersive gallery.
Beyond this game
One complete franchise view connects the main releases, spin-offs, settings, and related game families.
Production dossier
Cast, creators, hardware, release history, and the details that define how this game plays.

Commodore C64/128/MAX

ZX Spectrum

Amstrad CPC