SShortSingh.
Back to feed

How to check whether your Instagram account was actually accessed by someone else

0
·2 views

Account owners who suspect a break-in can separate real evidence from anxiety by reviewing login history in Instagram and Facebook settings, though VPN use and pruned logs can produce misleading results. Screenshots with timestamps should be taken before any changes, and a full data export should be requested early since it can take hours or days. Signs of takeover include unexpected password reset emails, changed recovery details, and alerts marked read without being opened. Owners should also check for mail forwarding rules, unfamiliar two-factor methods, linked apps, and device admin apps, since removing an intruder does not close every access route. The article notes that a do-it-yourself review is enough to regain an account, but cases involving harassment, fraud, or disputes may need a forensic examiner.

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 ·

Why Birthday Reminders Fall Short When They Only Flag the Date

A simple birthday reminder usually arrives too late for people who need time to buy gifts, book reservations, or mail something. The article argues that birthday apps should go beyond storing dates and support advance planning, since different people need different lead times. It proposes multiple reminder points, such as a month, a week, and a day before the event, to give users time to act. It also suggests storing useful context like relationships, gift ideas, and preferences in one place. The piece ends by promoting Annum, an Android birthday planner built around preparing for upcoming events.

0
ProgrammingDEV Community ·

Three-Layer Retry Plan Aims to Make Webhook Failure Alerts Safer for AI Rollbacks

The article argues that a failed webhook in a healthtech AI-agent loop is more than a delivery issue, since it can obscure latency breaches and delay rollback decisions. It recommends a bounded retry policy using exponential backoff, a maximum attempt count, and a circuit breaker that halts load on a failing destination. Each delivery should be tracked as a measured operation, with attempt number, timing, response class, and trace identifiers recorded in structured logs. A separate poller is suggested to surface persistent failures so the alert path does not itself become an incident. The piece also includes a Go example separating retry control from the delivery function and reading error data from an observation API.

0
ProgrammingDEV Community ·

Exporting Competitors' Google Ads from the Transparency Center With Python

Google's Ads Transparency Center lists the ads each advertiser runs, including text, images, video, regions and dates, but it has no export button or public API. The author built an Apify actor that pulls this data into CSV-ready rows, and the article walks through a short Python script using the apify-client library. Returned records include fields such as first and last shown dates, days running, format and a transparency link, with an optional per-domain summary row. The author suggests tracking the daysRunning field, since long-running ads may be performing well, and notes that the tool can run on a schedule to flag newly launched creatives. The article also cautions that the Transparency Center does not reveal spend, clicks or targeting, and that ad text is not always available.

0
ProgrammingDEV Community ·

A2A Protocol Aims to Let Independently Built AI Agents Work Together

As AI applications grow more capable, developers face the challenge of getting independently built agents to communicate and collaborate. The article illustrates this with a GitLab merge request review, where separate security, testing, and architecture agents feed findings to a review agent. Agent2Agent (A2A), an open protocol originally developed by Google and contributed to the Linux Foundation, offers a standardized way for agents to discover each other, delegate tasks, and exchange messages. It works regardless of the framework, language, or vendor used, and does not require agents to reveal internal reasoning or tools. The protocol also supports progress streaming, artifact exchange, and authentication across agent boundaries.