SShortSingh.
Back to feed

SIM Swap Fraud Can Hijack Your Phone Number Without Touching Your Device

0
·1 views

SIM swap fraud allows attackers to seize a victim's phone number by impersonating them to their mobile carrier using personal data sourced from breaches, social media, or social engineering. Once the carrier transfers the number to an attacker-controlled SIM, all calls and texts — including bank verification codes — are rerouted to the fraudster. The FBI's Internet Crime Complaint Center has monitored and formally warned about this scheme since 2018, noting that reported losses likely undercount the true damage, as downstream financial theft is often logged under separate fraud categories. Victims typically receive no advance warning, with the first sign usually being an unexplained loss of cell service. The FBI recommends setting a carrier account PIN, avoiding public disclosure of financial details, and replacing SMS-based authentication with an authenticator app or physical security key.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Goish ports Go 1.25 runtime into no_std Rust, targeting compliance and provenance

Thai engineer Chanwit Kaewkasi from Korat, working under Cogentica AI, has built Goish — a project that ports Go 1.25's standard library and runtime into Rust without relying on std, glibc, Tokio, or a garbage collector. The project brings Go's concurrency primitives — goroutines, channels, and select — into Rust while preserving memory safety, producing fully static binaries. A key motivation behind Goish is software supply-chain compliance: each ported function carries a comment tracing it back to the exact file and line in the Go SDK, with CI checks verifying those references remain accurate. This function-level provenance addresses a gap that tools like SLSA and SBOM cannot fill — proving that ported crypto or runtime code faithfully reflects its upstream source rather than being reimplemented loosely. The project is timed against approaching regulatory deadlines, including the EU Cyber Resilience Act's SBOM mandates and the US CNSA 2.0 transition, which together demand traceable, verifiable code lineage.

0
ProgrammingDEV Community ·

How EU Startups Should Actually Compare Speech-to-Text APIs for Invoice Processing

A technical guide argues that EU startups should evaluate speech-to-text APIs based on cost per accepted invoice rather than advertised per-minute pricing. The approach involves routing providers like OpenAI, Deepgram, AssemblyAI, and Google Cloud through a common interface and testing them against real supplier audio recordings. A small corpus of around 20 carefully chosen clips — covering invoice numbers, VAT identifiers, dates, and currency codes — is recommended to expose meaningful accuracy failures. EU data-handling compliance is treated as a hard disqualifier rather than a soft scoring factor. The framework emphasizes that a cheap transcript which corrupts a VAT number or total has no practical value, making accuracy-adjusted cost the only meaningful metric.

0
ProgrammingDEV Community ·

How to Use Feature Flags API With React Polling for Support Console UI

A technical guide outlines how to integrate a feature flags API as a polled configuration source in a React-based customer support console. The approach recommends loading default flag values synchronously before any network request, so the UI renders immediately and remains stable even if the configuration fetch fails or times out. Flags should only control presentation elements like labels, layouts, and diagnostic panels — never server-side decisions such as notification retries, billing, or user authorization. The React state machine should use a single shared context to avoid multiple competing pollers, and retain the last valid configuration during refresh cycles to prevent visual disruption. The guide also cautions that polling alone does not provide audit history, evaluation statistics, or real-time monitoring, and that separate tooling is needed for those requirements.

0
ProgrammingDEV Community ·

How EU Startups Should Evaluate Speech-to-Text APIs Beyond Advertised Pricing

Choosing a speech-to-text API for an EU startup in 2026 requires evaluating more than the advertised per-minute rate, as billing minimums, language accuracy, latency, and data compliance all affect real costs. Vendors may round short audio clips to larger billing units, meaning actual invoices can far exceed estimates based on average recording length. Quality testing should use real support audio containing product names, error codes, and varied accents rather than generic benchmarks, since transcription errors can corrupt downstream workflows. Asynchronous processing and webhook-based completion are recommended for uploaded call queues to avoid holding open connections. Candidates such as OpenAI, Deepgram, AssemblyAI, and Google Cloud should each be verified for EU data residency, retention policies, and subcontractor disclosures before price comparisons are made.

SIM Swap Fraud Can Hijack Your Phone Number Without Touching Your Device · ShortSingh