Face recognition by human officials remains the predominant method of identity verification in security-critical contexts (e.g., passport renewal, border control). The integrity of this process can be compromised by sophisticated fraud attacks using digitally manipulated face images. Therefore, in this study we examine whether human observers can robustly detect digitally manipulated passport photos and whether super-recognisers (SRs), individuals who excel at identity recognition, outperform typical recogniser controls. Using two face manipulation detection tasks (DFMD1, DFMD2), participants were asked to decide whether a ‘suspected’ passport photo had been digitally manipulated. The findings show that while both groups could consistently detect these manipulated faces, SRs significantly outperformed controls. This effect was not the result of a ‘speed-accuracy’ trade off, and face identification task performance and self-rated face recognition aptitude significantly predicted 30% of the variance in manipulated image detection scores. Taken together, these findings show that, despite increasing sophistication in digital face manipulation techniques, there is still utility in employing human operators, particularly SRs, to detect them. Further cognitive and applied implications of these findings are discussed.