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weak-encryption-anti-pattern弱加密反模式

Agent Skill

weak-encryption-anti-pattern 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

267

周安装

11

GitHub Stars

4

下载量

87
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:weak-encryption-anti-pattern(弱加密反模式)
来源仓库:https://github.com/igbuend/grimbard
仓库路径:skills/weak-encryption-anti-pattern
安装命令:
npx skills add https://github.com/igbuend/grimbard --skill weak-encryption-anti-pattern
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/igbuend/grimbard --skill weak-encryption-anti-pattern

简介

识别代码中常见的弱加密反模式,如 DES、RC4 算法或 ECB 不安全模式。

  • 帮助开发者发现因过时教程导致的潜在数据泄露风险点。
  • 适用于安全审计、代码审查或教育培训场景。weak-encryption-anti-pattern 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 提供错误示例与修复建议对照表,便于理解问题本质。
  • 覆盖主流编程语言片段,但具体实现需结合项目上下文调整。

SKILL.md

Weak Encryption Anti-Pattern

Severity: High

Summary

Applications use outdated algorithms (DES, RC4), insecure modes (ECB), or mismanage IVs/nonces (static, reused), enabling easy decryption. AI models suggest these weak practices from older tutorials, leading to data breaches and compliance failures.

The Anti-Pattern

The anti-pattern involves using cryptographic techniques that are no longer considered secure for protecting sensitive data.

1. Outdated or Broken Algorithms

Using algorithms like DES, 3DES, or RC4 is a critical flaw. These algorithms have known vulnerabilities and are easily broken with modern computing power.

BAD Code Example

# VULNERABLE: Using the outdated DES algorithm.
from Crypto.Cipher import DES
from Crypto import Random

key = Random.get_random_bytes(8) # DES uses an 8-byte (64-bit) key, but only 56 bits are effective.

def encrypt_data_des(plaintext):
    cipher = DES.new(key, DES.MODE_ECB) # ECB mode is also insecure.
    # Pad the plaintext to be a multiple of 8 bytes (DES block size).
    padded_plaintext = plaintext + (8 - len(plaintext) % 8) * chr(8 - len(plaintext) % 8)
    ciphertext = cipher.encrypt(padded_plaintext.encode('utf-8'))
    return ciphertext

# DES can be brute-forced in under 24 hours with commodity hardware.

2. Insecure Modes of Operation (e.g., ECB)

Even if using a strong algorithm like AES, using it in Electronic Codebook (ECB) mode is highly insecure. ECB encrypts identical blocks of plaintext into identical blocks of ciphertext, revealing patterns in the data.

BAD Code Example

# VULNERABLE: Using AES in ECB mode.
from Crypto.Cipher import AES
from Crypto import Random

key = Random.get_random_bytes(16) # AES-128 key.

def encrypt_data_ecb(plaintext):
    cipher = AES.new(key, AES.MODE_ECB)
    # Pad the plaintext to be a multiple of 16 bytes (AES block size).
    padded_plaintext = plaintext + (16 - len(plaintext) % 16) * chr(16 - len(plaintext) % 16)
    ciphertext = cipher.encrypt(padded_plaintext.encode('utf-8'))
    return ciphertext

# If you encrypt an image with many identical color blocks using AES-ECB,
# the encrypted image will still show the original image's outline and patterns.
# This leaks significant information about the plaintext.

GOOD Code Example

# SECURE: Use a modern, authenticated encryption mode like AES-256-GCM.
from cryptography.hazmat.primitives.ciphers.aead import AESGCM
from cryptography.exceptions import InvalidTag
import os

# Generate a strong, random key. AES-256 uses a 32-byte key.
key = AESGCM.generate_key(bit_length=256)

def encrypt_data_gcm(plaintext):
    aesgcm = AESGCM(key)
    # GCM requires a unique, unpredictable nonce (Initialization Vector).
    # It must never be reused with the same key. A 12-byte nonce is standard.
    nonce = os.urandom(12)

    # AES-GCM performs both encryption and provides an authentication tag (integrity check).
    ciphertext = aesgcm.encrypt(nonce, plaintext.encode('utf-8'), None)

    # Store and transmit the nonce along with the ciphertext.
    return nonce + ciphertext

def decrypt_data_gcm(encrypted_data_with_nonce):
    aesgcm = AESGCM(key)
    nonce = encrypted_data_with_nonce[:12]
    ciphertext = encrypted_data_with_nonce[12:]

    try:
        # The decrypt method will also verify the authentication tag.
        # If the data is tampered with, it will raise an `InvalidTag` exception.
        plaintext = aesgcm.decrypt(nonce, ciphertext, None).decode('utf-8')
        return plaintext
    except InvalidTag:
        raise ValueError("Decryption failed: data may have been tampered with or corrupted.")

# AES-256-GCM provides strong confidentiality, integrity, and authenticity.
# Each encryption is unique due to the nonce, preventing pattern leakage.

Detection

  • Code review for algorithm choice: Search your codebase for calls to cryptographic functions using DES, 3DES, RC4, MD5 (for encryption), or SHA-1 (for encryption/signatures).
  • Check modes of operation: Look for ECB mode being used with block ciphers like AES.
  • Inspect IV/Nonce generation: Verify how initialization vectors (IVs) or nonces are generated. Are they random and unique for each encryption? Avoid static, predictable, or reused IVs.
  • Custom crypto implementations: Be extremely wary of any "homegrown" encryption algorithms. These are almost always insecure.

Prevention

  • Use strong, modern algorithms: For symmetric encryption, always use AES-256. For authenticated encryption, prefer AES-256-GCM or ChaCha20-Poly1305.
  • Avoid insecure modes of operation: Never use ECB mode. If using CBC mode, always pair it with a strong MAC (Message Authentication Code) in an Encrypt-then-MAC scheme. Better yet, use AEAD modes like GCM.
  • Generate random, unique IVs/Nonces: Generate a unique, unpredictable IV (CBC) or nonce (GCM) for every encryption using a cryptographically secure random number generator. Never reuse a nonce with the same key in GCM (enables catastrophic key recovery).
  • Use established cryptographic libraries: Never "roll your own" encryption. Use well-vetted, standard libraries (e.g., cryptography in Python, javax.crypto in Java).
  • Ensure key strength: Use sufficiently long keys (e.g., 256 bits for AES).

Related Security Patterns & Anti-Patterns

References

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

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能力 3

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能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.76%
按下载量换算32

Claude

29.53%
按下载量换算26

Cursor

19.04%
按下载量换算17

Gemini CLI

10.3%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

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安装前确认

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