Cyber threats are an inevitable part of the software development and the technology world in recent times. No matter how hard one tries to protect the mobile and web apps, these attacks are bound to happen - that is a fact and you can only try to make sure that the apps are secure and robust with timely pentesting services so that the damage inflicted can be minimum if not possible to avoid 100%.
Cyber attacks are of different forms when it comes to web and mobile apps. They are not limited to just common attacks such as malware, phishing, or any other generic attacks. Cyber attacks on mobile and web application can be deep such that it can disturb the essential business logic as well. Imagine owing and running a FinTech app were the money matters are involved. If such apps get attacked on a flow level, it can disrupt the entire eco-system.
The first step towards addressing the cyber attacks on the web and mobile apps is to understanding what different types of attacks we can encounter in this domain. In this blog, we have thrown some light on the 10 most common forms of cyber attacks that are faced by web and mobile apps through various parameters such as what it is, where it causes the damage, how to detect, prevent, and correct each attack.
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10 most common cyber attacks on mobile and web applications
1
Injection attacks
Injection vulnerabilities remain one of the biggest risks for web and mobile apps. These cyber attacks occur when untrusted input is passed directly into queries or commands thereby allowing attackers to manipulate databases or back-end systems.
Example:**
Imagine a shopping app login page where a hacker types ‘ OR 1=1-- instead of a password. The system logs them in as an admin, giving full access to user data.
**Damage: **
Exposure of sensitive data, database corruption, unauthorized admin access.
**Detection: **
Monitor for unusual database errors, penetration testing with fuzzed inputs, WAF alerts.
**Prevention: **
Use parameterised queries, input validation, and least-privilege database access.
**Correction: **
Patch vulnerable code, review logs for data exposure, restore from secure backups.
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2
Cross-site scripting [XSS]
XSS is a client-side attack where attackers inject malicious scripts into web applications that get executed in the browsers of other users. The browser trusts the script because it comes from a legitimate site. This grants attackers the access to sensitive data.
Example:**
A malicious script hidden in a comment steals cookies of users who read it, giving the attacker their session.
**Damage: **
Account hijacking, data theft, reputational damage to the app.
**Detection: **
Automated scans, penetration testing, monitoring for suspicious script execution.
**Prevention: **
Sanitize user inputs, escape outputs, enforce Content Security Policy (CSP).
**Correction: **
Remove injected scripts, reset user sessions, and fix vulnerable inputs.
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3
Cross-site request forgery [CSRF]
CSRF tricks a logged-in user into unintentionally executing an action on a web application where they are authenticated. Because the user is already logged in, the app treats the malicious request as legitimate. Attackers usually embed these requests in hidden forms or links.
Example:**
A logged-in banking app user clicks a hidden link that transfers funds without their consent.
**Damage: **
Unauthorized transactions, data modification, and account misuse.
**Detection: **
Look for suspicious POST requests without proper tokens, analyze activity logs.
**Prevention: **
Use anti-CSRF tokens, SameSite cookies, and re-authentication for sensitive actions.
**Correction: **
Invalidate active sessions, reverse unauthorized actions, and strengthen CSRF controls.
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4
Broken authentication and session management
This attack exploits weaknesses in how an app manages user logins and sessions. If passwords are weak, sessions don’t expire, or tokens are stored insecurely, attackers can take over accounts. A mobile app pentesting activity assists in such cases to detech such loose ends.
Example:**
A mobile app stores login tokens in plain text. An attacker steals the token and accesses the account without needing a password.
**Damage: **
Account takeovers, data breaches, and impersonation.
**Detection: **
Unusual login attempts, multiple IP/device logins for the same user.
**Prevention: **
Enable MFA, encrypt session tokens, enforce session timeouts.
**Correction: **
Force logouts, rotate tokens, reset user credentials.
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5
Insecure direct object reference [IDOR]
IDOR happens when apps expose internal references (like user IDs, order numbers, or document IDs) without checking if the current user has permission to access them. Attackers can manipulate these identifiers to gain access to other users’ data.
Example:**
A delivery app API exposes /order?id=101. Changing it to /order?id=102 reveals another user’s order.
**Damage: **
Unauthorized access to personal data, privacy breaches, compliance violations.
**Detection: **
Security tests on parameter manipulation, monitoring unauthorized API requests.
**Prevention: **
Implement access control checks, validate user permissions on every request.
**Correction: **
Patch endpoints, audit logs for exposed records, notify affected users.
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6
Insecure API endpoints
When APIs lack proper authentication, authorization, or rate-limiting, attackers can abuse them. They might scrape large amounts of data, brute force inputs, or exploit weak endpoints to extract sensitive information.
Example:**
A ride-hailing app’s API has no rate limit. Attackers spam requests to guess valid promo codes.
**Damage: **
Abuse of business resources, financial fraud, large-scale data scraping.
**Detection: **
Monitor for unusual API traffic, excessive requests, or unauthorized payloads.
**Prevention: **
Implement OAuth 2.0, rate-limiting, and strict input validation.
**Correction: **
Revoke compromised API keys, block abusive IPs, patch endpoints.
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7
Denial of service [DoS]
A DoS or DDoS attack focuses on availability. Attackers flood an app or server with excessive requests, overwhelming resources and making the service unavailable to legitimate users. For mobile and web apps, this means downtime, loss of business, and frustrated customers.
Example:**
Attackers flood an eCommerce app with fake traffic, crashing the servers during a big sale.
**Damage: **
Service downtime, revenue loss, reputational damage.
**Detection: **
Abnormal traffic spikes, network performance monitoring, IDS alerts.
**Prevention: **
Use DDoS protection services, rate-limiting, and scalable infrastructure.
**Correction: **
Filter malicious traffic, block offending IPs, restore servers from backup.
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8
Business logic attacks
Unlike technical flaws, business logic attacks exploit the actual workflows of an app. Attackers manipulate the way an app is supposed to work - skipping steps, bypassing validation, or misusing functionality. These require a dedicated VAPT testing as not much technical fault is involved and human mind is needed to crack the mind of attackers.
Example:**
An eCommerce site doesn’t validate coupon logic. An attacker applies a negative discount and buys products for free.
**Damage: **
Revenue loss, fraud, and trust issues with customers.
**Detection: **
Manual penetration testing, monitoring for unusual transaction patterns.
**Prevention: **
Validate workflows, apply sanity checks on transactions.
**Correction: **
Patch business logic, reverse fraudulent actions, and strengthen transaction rules.
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9
Zero-delay exploits
Flaws that the developer has not yet discovered or patched. Because no fix exists, these attacks are extremely dangerous. For web and mobile apps, this could mean exploiting a newly found bug in a framework, library, or operating system.
Example:**
A photo-sharing app has an unknown flaw in its image upload function. Attackers use it to install spyware before a patch is released.
**Damage: **
Full device compromise, stolen photos, messages, and personal data.
**Detection: **
Behavior anomaly detection, IDS, and monitoring security advisories.
**Prevention: **
Adopt defense-in-depth, frequent patching, and threat intelligence feeds.
**Correction: **
Apply vendor patches immediately, isolate compromised systems, notify affected users.
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10
Sensitive data exposure
This attack isn’t about “breaking into” a system but rather about poor handling of sensitive information. If apps store passwords, credit cards, or API keys in plain text, or transmit them without encryption, attackers can intercept or steal them. It often happens due to weak cryptography, misconfigured servers, or lack of encryption in transit.
Example:**
A payment app transmits card details over HTTP instead of HTTPS, allowing attackers to intercept them.
**Damage: **
Identity theft, financial fraud, compliance violations (PCI-DSS, GDPR).
**Detection: **
Data security audits, DLP (Data Loss Prevention) monitoring, penetration tests.
**Prevention: **
Encrypt data at rest and in transit, use HTTPS/TLS, avoid plain text storage.
**Correction: **
Rotate keys, notify users, enforce encryption policies.
Conclusion
Cyber threats against web and mobile applications are no longer just theoretical risks - they are a daily reality in today’s connected world. From injection flaws and XSS attacks to API exploitation and business logic abuse, attackers continue to evolve their methods while targeting both technical loopholes and process weaknesses. For businesses, the impact ranges from financial loss and compliance penalties to severe reputational damage that can take years to recover from. The only way forward is to build a proactive security mindset: understand the different types of attacks, invest in regular VAPT, web, mobile, and API pentesting, and adopt strong detection, prevention, and correction measures.