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Nima Mashhadi Mohammad Reza
Nima Mashhadi Mohammad Reza

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🌶️ SCP Emoji Attack: Exploiting Unicode for Storage Exhaustion in Messaging Systems

Abstract

Modern messaging platforms enforce message length limits in terms of characters rather than bytes. Due to Unicode variability, emojis can represent a single “character” while consuming multiple bytes in UTF-8 encoding. This paper introduces the SCP Emoji Attack (Single Code Point Emoji Attack), a method that leverages high-byte, single-code-point emojis to inflate storage usage and cause denial-of-service conditions in databases.

1. Introduction

Messaging systems typically restrict messages to a maximum number of characters (e.g., 100 characters). Developers often assume that one character ≈ one byte. However, Unicode breaks this assumption:

  • ASCII letters/numbers → 1 byte each
  • Single Code Point (SCP) Emojis (🚀, 🔥, ❤️) → 4 bytes each
  • Complex multi-code-point emojis (e.g., 🏴‍☠️) → up to 13+ bytes each

This discrepancy creates an amplification gap between perceived limit and actual storage. By choosing SCP emojis, attackers achieve a balance of high byte-per-character efficiency and maximum scalability, making the SCP Emoji Attack more practical than complex multi-code-point payloads.

2. Why SCP Emojis Instead of Complex Emojis?

At first glance, the largest possible byte payload (e.g., 🏴‍☠️ = 13 bytes) seems like the strongest attack vector. However, SCP emojis are superior in practice for three reasons:

1- Character Limit Constraints

  • Most messaging systems enforce limits by code points or characters.
  • A complex emoji like 🏴‍☠️ consumes 4 code points, reducing how many can fit inside a 100-character message (25 maximum).
  • SCP emojis consume only 1 code point, allowing a full 100 to fit, maximizing throughput.

2- Simplicity & Reliability

  • SCP emojis are universally supported and rarely normalized or split differently by databases or programming languages.
  • Complex emojis may behave inconsistently across platforms (some count them as multiple characters, others collapse them).

3- Amplification Efficiency

  • 🏴‍☠️: 25 × 13 bytes = 325 bytes in a 100-character field.
  • 🚀: 100 × 4 bytes = 400 bytes in the same field. → Despite lower per-emoji size, SCP emojis produce a larger final payload due to character-limit efficiency.

Thus, SCP emojis are the optimal choice for maximizing stored bytes within character-limited messaging fields.

3. Attack Example: MariaDB with 50 GB Memory

Setup:

  • Database: MariaDB, utf8mb4, column VARCHAR(100)
  • Message limit: 100 characters
  • Payload: 🚀 (single-code-point emoji, 4 bytes each)

Calculation:

  • Per message: 100 × 4 = 400 bytes
  • If an attacker inserts 150 million messages:

    • Naïve developer expectation (1 byte/char): ~15 GB
    • Actual usage (SCP Emoji Attack): ~60 GB

This overshoots a 50 GB memory allocation, triggering:

  • Buffer pool exhaustion
  • Slow queries and replication lag
  • Backup inflation
  • Eventual denial-of-service

4. Mitigation Strategies

  • Enforce byte-based limits (e.g., VARCHAR(400) vs VARCHAR(100)).
  • Validate and normalize emojis at input.
  • Monitor for emoji-dense traffic patterns.
  • Rate-limit message creation per user.

5. Conclusion

The SCP Emoji Attack demonstrates that even “simple” single-code-point emojis can be weaponized to amplify database storage consumption. By carefully choosing SCP emojis over complex grapheme clusters, attackers maximize per-message payload efficiency, achieve broader compatibility, and maintain stealth.

This highlights the necessity of byte-aware validation and Unicode-conscious design in modern messaging platforms.

Top comments (1)

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rsharifnasab profile image
Roozbeh Sharifnasab

Interesting and accurate