In early 2018, non‑consensual synthetic intimate media stopped feeling like a niche internet subculture and began to look like a widespread social crisis.
Reports from Motherboard revealed that hobbyist creators were using machine learning tools to graft celebrity faces onto performers in increasingly convincing videos. The warning wasn’t about a single technical trick. It was about how quickly that trick was becoming cheap, effortless, and repeatable — a pattern that has accelerated dramatically in the eight years since.
Key Takeaways
- Synthetic intimate abuse surged from 2018 face-swaps to one-click generative AI, drastically lowering the technical barrier.
- Deepfake technology has shifted from targeting celebrities to targeting ordinary private citizens, students, and employees.
- Modern generative video tools can fabricate high-fidelity explicit content from a single public photo and text prompt.
- New legal protections (like the US DEFIANCE Act and UK Online Safety Act) criminalize synthetic media creation without consent.
- StopNCII.org and national cybercrime reporting portals are essential immediate resources for affected victims.
While cloud-based generative platforms are advancing rapidly, keeping data local and private remains the ultimate security measure. Read our deep-dive on How OpenClaw Memory Works: Keep Your Data Local and Private to see how running models on your own hardware mitigates the risk of cloud leakage.
The original spark: what happened in the 2018 deepfake wave?
A Reddit user operating under the name deepfakes — the term that would become a catch‑all — shared face‑swapped videos featuring Scarlett Johansson, Daisy Ridley, Maisie Williams, Taylor Swift, Aubrey Plaza, and Gal Gadot. The clips were produced on consumer hardware with publicly available video footage and machine learning software that was already drifting beyond the reach of specialists.
The method was simple:
- Gather enough still images of the target face.
- Train (or apply) a model that maps that face onto another person’s movements.
- Render a synthetic video that looks plausible at a casual glance.
What multiplied the scale of the problem was usability. Tools like FakeApp, built on open-source frameworks such as TensorFlow, reduced the entire workflow to a few clicks. You no longer needed to be a researcher — just motivated.
Why did this matter then, and why does it matter even more now?
The obvious harm fell on public figures whose likenesses were exploited without consent. But the deeper threat always extended beyond celebrities.
Once the technology became easy to operate, the target pool widened to:
- an ex‑partner
- a classmate
- a colleague
- a private citizen whose social media photos were publicly accessible
That is what made — and still makes — this so disturbing. Non‑consensual synthetic intimate media collapses the distance between online visibility and personal vulnerability.
A synthetic video from the 2018 wave, created with FakeApp.
How did deepfake tools become dramatically easier and fully generative?
In 2018, creation required gathering face data, training a model, and finessing the output. By 2026, a different reality has taken hold.
Generative AI — diffusion models, transformer‑based architectures — can now produce high‑fidelity video from a single photo and a text prompt. OpenAI’s Sora, Runway Gen‑3, and open‑source models like Stable Video Diffusion are part of a tooling landscape that can fabricate entire scenes without any “source” video to swap onto. The barrier has shifted from needing technical skill to simply writing a description.
A 2023 study by Home Security Heroes found that it took less than 25 minutes and zero cost to create a convincing deepfake intimate image using freely available apps1. That figure has only fallen. Open‑source models released without safety filters — hosted on platforms with minimal oversight — are routinely repurposed to generate non‑consensual intimate content at scale.
One message from a 2018 online forum, quoted by Motherboard, captured the goal: to make the process “one click.” That ambition has been largely realized, but without any consent infrastructure to match it.
What are the key statistics defining the synthetic media crisis?
What began as isolated forum activity has become a statistical avalanche:
- In 2019, the deepfake detection firm Deeptrace (later Sensity) reported that 96% of deepfake videos online were non‑consensual intimate media featuring women2.
- By 2023, Sensity tracked over 140,000 deepfake videos on a single dedicated website, a figure that had increased by 550% in one year.
- In 2024, South Korean authorities uncovered a sprawling network of Telegram chatrooms where tens of thousands of users created and shared AI‑generated intimate images of female acquaintances, classmates, and even minors. Police identified more than 200 victims in the initial probe, and the case led to emergency legal reforms3.
The shift from targeting celebrities to targeting ordinary individuals — schoolteachers, high‑school students, office workers — is now complete.
What is the human cost of synthetic exploitation?
These statistics are backed by real cases that show how synthetic intimate media is weaponised across different contexts.
- Sextortion at scale. In March 2025, the FBI warned about a sharp increase in sextortion schemes that use generative AI to create fake explicit videos of victims from social media photos, then demand money or additional imagery. Europol had already warned in 2024 that AI‑enabled sextortion was among the fastest‑growing cybercrimes4.
- Women in public life silenced. Female MPs in the United Kingdom were targeted in early 2025 with AI‑generated intimate images shared on messaging platforms. At least one MP temporarily withdrew from public engagements, and cross‑party MPs called the abuse a deliberate attempt to “humiliate and intimidate women out of public life”5.
- Workplace harassment. In 2024, a former employee of a major technology firm sued after a colleague created deepfake explicit images of her using work photos and circulated them on internal Slack channels6.
- Domestic and family violence. The Australian eSafety Commissioner’s 2024 report documented a surge in intimate partner violence involving AI‑generated images. Perpetrators used free tools to create fake compromising photos of current or former partners to coerce, threaten, or control7.
- India’s deepfake crisis hits women and students hard. In January 2024, Delhi Police registered an FIR after a woman discovered her personal photos had been morphed into explicit images using a freely available AI tool and circulated on messaging platforms8. In August 2024, a 22‑year‑old engineering student in Mumbai was arrested for creating and sharing deep‑fake nude videos of at least 15 female classmates generated from their Instagram photos9. The National Commission for Women reported a 230% jump in AI‑assisted image‑based abuse complaints in 202510. The Government of India issued an advisory under the IT Rules 2021 requiring platforms to remove such content within 24 hours of a complaint11, though enforcement remains uneven.
- The exploitation of children. In 2025, the Internet Watch Foundation warned that AI‑generated child sexual abuse material had become a systemic threat, with realistic synthetic images mass‑produced and traded, often indistinguishable from real victims12.
⚠️ Key warning: In 2026, a single public selfie is enough to create a high‑fidelity non‑consensual synthetic video. Protect your images like you protect your passwords.
How have platforms responded to synthetic media distribution?
Platforms did begin to react. Discord shut down servers openly trading non‑consensual deepfake material. Gfycat and Reddit banned the communities that first popularized the term. Meta, TikTok, and X now have policies prohibiting non‑consensual synthetic intimate media.
But enforcement remains uneven. A 2024 New York Times investigation found that deepfake explicit images of female public figures persisted on X for days after being reported. Once an image escapes into encrypted group chats or offshore hosts, removal is a game of whack‑a‑mole.
The moderation challenge has mutated. Today’s generative tools can create images of entirely imaginary individuals indistinguishable from real victims. The volume, speed, and believability of synthetic media have overwhelmed the report‑and‑remove model.
How are legal frameworks closing the synthetic media consent gap?
- United States: The DEFIANCE Act (2024) creates a federal civil right of action for victims to sue creators and distributors of non‑consensual intimate digital forgeries13.
- European Union: The AI Act (fully applicable by 2026) requires labeling of deepfake content and mandates transparency from deployers of generative AI systems14.
- United Kingdom: The Online Safety Act 2023 criminalised sharing deepfake intimate images without consent; enforcement actions began in 2025.
- South Korea: Following the 2024 Telegram crisis, lawmakers criminalised the possession and viewing of deepfake explicit material, alongside increased penalties.
- India: The IT Act (Section 66E, 67/67A), Digital Personal Data Protection Act 2023, and IT Rules 2021 provide legal avenues. The government has directed intermediaries to remove non‑consensual deepfakes within 24 hours.
These laws are a sea change from 2018, when victims had almost no tailored legal recourse. But their effectiveness depends on cross‑border cooperation, platform compliance, and victim support — all areas where execution still lags behind the technology.
Why is synthetic intimate media not ‘just fake content’?
A persistent cultural misperception is that synthetic media can be dismissed as “just fake.” For targets, the damage doesn’t depend on whether a video is authentic. It depends on whether it is believed, shared, or weaponised. Fabricated intimate imagery can destroy reputations, end careers, extort money, and cause severe psychological distress — even when the viewer knows it’s synthetic.
In schools, AI‑generated nudes of teenage girls have been used as a form of peer‑to‑peer bullying that leaves a permanent digital scar15. The suicide of a young woman in Italy in 2023, after AI‑manipulated explicit imagery of her was circulated among peers, underscored that the consequence of this technology is not diminished by its artificial origin16.
Where the warning leads us in 2026
The 2018 deepfake moment was an early tremor in a landscape now fully reshaped by generative media. The pattern has held: the first mass‑consumer use cases of a new medium are often not educational, creative, or life‑saving, but invasive, exploitative, and personal.
The tools are not hidden in dark corners — they are advertised on app stores, refined in open‑source repositories, and integrated into everyday products. The victims are not only celebrities but anyone with a digital footprint. Consent, provenance, and accountability remain the tripod on which any serious response must stand.
The old internet advice — be careful what you upload — has been inverted. Now the warning is: be aware that others can fabricate intimate realities from the traces you leave behind. And until tools, laws, and norms evolve in lockstep, that risk will remain dangerously ordinary.
Where to get help immediately:
- India: National Cyber Crime Portal – cybercrime.gov.in; Women Helpline – 181
- Global: StopNCII.org – stopncii.org
- USA: Cyber Civil Rights Initiative – cybercivilrights.org
- UK: Revenge P0rn Helpline – 0345 6000 459
Frequently asked questions
How many deepfake videos are non‑consensual intimate media?
Research by Sensity (formerly Deeptrace) found that 96% of deepfake videos online in 2019 were non‑consensual intimate content featuring women, and the absolute numbers have multiplied since.
Are deepfakes illegal in India?
Yes, creating or sharing non‑consensual synthetic intimate imagery can be prosecuted under the IT Act, IPC, and IT Rules. Platforms are required to remove such content within 24 hours.
Can I sue if someone creates a deepfake of me?
In the U.S., the DEFIANCE Act provides a federal civil right of action. In India, you can file a criminal complaint and seek damages through civil courts. Other jurisdictions are rapidly introducing similar laws.
What is the first thing I should do if I’m a victim?
Preserve evidence, report to the platform, and file a complaint at your national cybercrime reporting portal. Use StopNCII.org to hash and block the images globally.
Read more
- Motherboard (2018): Reddit Fake Adult Movie App Targets Daisy Ridley and Other Celebrities
- Motherboard (2018): People Are Using AI to Create Fake Porn of Their Friends and Classmates
- Sensity (2019): The State of Deepfakes 2019
- Home Security Heroes (2023): State of Deepfakes 2023
- BBC News (2024): South Korea deepfake crisis
- Reuters (2024): US Senate passes DEFIANCE Act
- European Commission: AI Act
- C2PA: Content Provenance and Authenticity
- India: The Indian Express, Times of India, National Commission for Women, MeitY advisory.
A final thought
In 2018, deepfakes changed the equation of trust online. In 2026, the equation has been rewritten entirely. The question is no longer whether synthetic intimate media will be made — it will be, with one‑click ease — but whether the systems around us can make sure that those who create harm face consequences, and those who are harmed have real protection. The technology ran ahead of society once. It is still running.
Footnotes
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Home Security Heroes, “State of Deepfakes 2023.” ↩
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Deeptrace (now Sensity), “The State of Deepfakes 2019.” ↩
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BBC News, “South Korea deepfake crisis,” 4 September 2024. ↩
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FBI PSA, 5 March 2025; Europol, “AI‑enabled sexual extortion,” 18 November 2024. ↩
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BBC News, “Deepfake abuse of female MPs,” 11 February 2025. ↩
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The Washington Post, “A tech worker sued her employer…,” 12 April 2024. ↩
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eSafety Commissioner (Australia), “Technology‑facilitated abuse…,” August 2024. ↩
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The Indian Express, 5 January 2024. ↩
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Times of India, 15 August 2024. ↩
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The Hindu, “NCW flags 230% rise…,” 12 March 2025. ↩
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MeitY, “Advisory to Intermediaries on Deepfakes,” 7 November 2024. ↩
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Internet Watch Foundation, “AI‑generated child sexual abuse imagery…,” 2025. ↩
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Reuters, “US Senate passes DEFIANCE Act,” July 2024. ↩
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European Commission, “AI Act.” ↩
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The New York Times, “Teen Girls Confront an Epidemic of Deepfake Nudes in Schools,” 8 April 2024. ↩
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EuroNews, “Italian girl’s suicide linked to AI-manipulated images,” 20 July 2023. ↩
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