It is a harsh truth: many of these fake images are created not by random perverts, but by organized "anti-fans."
Mollywood has a toxic subculture where fans of one actress will create fake pornographic images of a rival actress to "troll" and humiliate her. These battles play out on anonymous Instagram pages.
One such admin, arrested in Thrissur (age 22, engineering student), confessed: "I didn't think it was a crime. She is a public figure. I just wanted my favorite actress to be number one. If the other one looks bad, my favorite wins."
Understanding how these "new" images are created is crucial for prevention. Based on cyber crime reports from the Kerala Police, there are three primary methods:
| Method | Technology Used | Tell-tale Signs | Prevalence (2026) | | :--- | :--- | :--- | :--- | | Classic Morphing | Photoshop / GIMP | Artifact edges, pixelation | 15% | | Deepfake (Face Swap) | DeepFaceLab / InsightFace | Erratic blinking, skin texture too smooth | 60% | | Generative AI (Text-to-Image) | Midjourney / Stable Diffusion | Distorted jewelry, unrealistic background props | 25% |
The Supply Chain:
For a survivor of this crime, the damage is not "fake." Actor Parvathy Thiruvothu has spoken extensively about how digital violence mirrors physical violence. The trauma includes:
Older fake images were easy to spot—blurry necklines, mismatched skin tones, and unnatural lighting. Today, open-source AI generators like Stable Diffusion and Midjourney updates have made hyper-realistic fakes accessible to a teenager with a smartphone.
It is a harsh truth: many of these fake images are created not by random perverts, but by organized "anti-fans."
Mollywood has a toxic subculture where fans of one actress will create fake pornographic images of a rival actress to "troll" and humiliate her. These battles play out on anonymous Instagram pages.
One such admin, arrested in Thrissur (age 22, engineering student), confessed: "I didn't think it was a crime. She is a public figure. I just wanted my favorite actress to be number one. If the other one looks bad, my favorite wins."
Understanding how these "new" images are created is crucial for prevention. Based on cyber crime reports from the Kerala Police, there are three primary methods:
| Method | Technology Used | Tell-tale Signs | Prevalence (2026) | | :--- | :--- | :--- | :--- | | Classic Morphing | Photoshop / GIMP | Artifact edges, pixelation | 15% | | Deepfake (Face Swap) | DeepFaceLab / InsightFace | Erratic blinking, skin texture too smooth | 60% | | Generative AI (Text-to-Image) | Midjourney / Stable Diffusion | Distorted jewelry, unrealistic background props | 25% |
The Supply Chain:
For a survivor of this crime, the damage is not "fake." Actor Parvathy Thiruvothu has spoken extensively about how digital violence mirrors physical violence. The trauma includes:
Older fake images were easy to spot—blurry necklines, mismatched skin tones, and unnatural lighting. Today, open-source AI generators like Stable Diffusion and Midjourney updates have made hyper-realistic fakes accessible to a teenager with a smartphone.