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Fake Text Message Investigation Report

Report generated: Dec 2, 2025

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Geo: unknown
Website: Site icon
Category: Fake Text Message
Recommendation
Caution
Overall Summary
Suspicious
  Why we think so? 

Flags present: the image contains text that automated tools mark as synthetic across many text boxes, and OCR pulled a US phone number (+1 (626) 327-7245) twice. Reverse-image checks show the picture appears across multiple Instagram/YouTube posts (copy detected). There are no QR codes or links and the moderation scan found no violent or hate content. Overall, this looks suspicious — treat the phone contact and any instructions in the image with caution. ⚠️

Confidence Score Our overall confidence rating for this entity based on public signals, activity, and risk checks.
38%

Risk Insights

⚠️

Synthetic text detected

  • Many OCR boxes labeled 'text-artificial' with ~0.96–0.98 confidence.
  • Synthetic text undermines claims of authenticity and makes messages easier to spoof.
  • Treat any instructions or contact details in the image as unverified.

No QR or links found

  • No immediate drive-by redirect or malicious URL in the image.
  • Risk is via contact (phone) or social-engineering rather than embedded links.

Category Scores

Red Flags & Warnings

  • High-confidence detection of synthetic/AI-generated text on multiple text boxes.
  • Presence of an extracted phone number (potential contact method for scams).
  • Image appears repeatedly across public social posts, suggesting reuse rather than a single authoritative source.

Detailed Checks & Insights

0-100 Scale

AI / manipulated text detection (image OCR)

Score: 15
Failed

"Sightengine found numerous bounding boxes classed 'text-artificial' (probabilities ~0.96–0.98) and reported has_artificial=0.98 while has_natural≈0.001; this pattern strongly suggests the visible text was generated or overlaid rather than captured from a natural printed source."

Reason: Automated OCR labeled many text regions as 'text-artificial' with very high probabilities (≥0.95), indicating the text was likely synthetic or composited.

Extracted text scanned for scam keywords or URLs

Score: 40
Failed

"Sightengine's text extraction returned a US-format phone number twice and no link or domain; while a number alone isn't proof of fraud, it gives a direct contact vector commonly used in scam flows."

Reason: OCR produced a clear phone number (+1 (626) 327-7245) but no URLs; phone numbers can be used to contact or social-engineer targets.

OpenAI moderation for harmful or manipulative content

Score: 90
Passed

"The omni-moderation model returned flagged=false and all major category scores near zero, meaning the image does not contain content typically blocked for safety reasons."

Reason: No moderation categories (hate, sexual-minors, illicit, violent) were triggered; image content is not overtly abusive or illegal.

QR code or embedded link destination reputation

Score: 85
Passed

"Sightengine's qr and link detections returned empty arrays for personal/link/social/spam/blacklist fields, so there is no direct clickable target in the image to inspect."

Reason: No QR codes or embedded links were detected in the image, reducing immediate risk from drive-by redirects.

Reverse image search (reuse / provenance)

Score: 50
Failed

"Lens results include multiple Instagram posts, YouTube channels, and other social links (copy_detected=true). Broad reuse makes it harder to trust the image as an original authoritative asset."

Reason: Google Lens shows many matches across Instagram and YouTube; the image appears reused and not uniquely tied to an official organization.

Your Next Steps

  • 1

    Do not call or text the extracted phone number unless you can verify it independently from a trusted website or official directory.

  • 2

    If you received this image claiming to be from a company or government agency, contact the organization through an address or phone number listed on their official site — not the one in the image.

  • 3

    If you must interact, forward the image to a trusted friend or your institution’s security team and ask them to verify its origin before acting.

  • 4

    Keep a screenshot of the message and any related communication in case you need to report it to your local consumer protection agency or platform support.

Evidence & Citations

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