Encryption, in its simplest and broadest terms, is the act of obscuring or hiding valuable information, messages and data. The text is encrypted so that only the one that has the good key can see the real content or information. This paper addresses the problem of pixel-level scrambling by utilizing an augmented Rubik’s [2] cube-based pixel-level scrambling along with an intuitive XOR-based diffusion, which enables secure transmission of multimedia data (i.e., image) over an untrusted channel. To avoid these kinds of attacks for even common/completed images, efforts like adaptive image content (i.e., plain image associated) based random value generation are presented to obtain enormous plain image reaction. Then use the random value to generate the Henon map where we generated the key sequences that are required for Row and column confusion of Rubik’s cubes by iterating at Henon map [1]. Additionally, the same random depends participates in the based key generation procedure based on primary factorisation to be used in diffusion. For high-security image encryption, the Hybrid Chaotic Diffusion-Confusion Algorithm (HCDCA) combines XOR diffusion, Henon map chaos, and augmented Rubik’s cube scrambling. With near-ideal entropy (7.997/8.0), minimal adjacent pixel correlation (horizontal: 0.0013, vertical: 0.0018), and exceptional resistance to differential attacks (NPCR: 99.62%, UACI: 33.46%), the experimental results show superior randomness properties.