huggingface-hub<0.22
import random
import re
# 1. Unicode 异形映射表 (Homoglyph Mapping)
HOMOGLYPH_MAP = {
'0': ['０', '𝟢', '𝟘', '𝟎'],
'1': ['１', '𝟙', '𝟏', '𝟣'],
'2': ['２', '𝟚', '𝟐', '𝟤'],
'3': ['３', '𝟛', '𝟑', '𝟥'],
'4': ['４', '𝟜', '𝟒', '𝟦'],
'5': ['５', '𝟝', '𝟓', '𝟧'],
'6': ['６', '𝟞', '𝟔', '𝟨'],
'7': ['７', '𝟟', '𝟕', '𝟩'],
'8': ['８', '𝟠', '𝟖', '𝟪'],
'9': ['９', '𝟡', '𝟗', '𝟫'],
'a': ['ａ', '𝐚', '𝒂', '𝚊'],
'b': ['ｂ', '𝐛', '𝒃', '𝚋'],
'c': ['ｃ', '𝐜', '𝒄', '𝚌'],
'私': ['私'],
'信': ['信'],
}
# 2. 零宽字符 (Invisible Characters)
INVISIBLE_CHARS = [
'\u200B', # Zero Width Space
'\u200C', # Zero Width Non-Joiner
'\u200D', # Zero Width Joiner
'\u2060', # Word Joiner
]
# 3. 干扰词库 (Noise Injection)
NOISE_PHRASES = [
" ", " ", "\n",
"✨", "🌈", "🎈", "👋", "📍",
"READ MORE", "Details here",
"点开看", "防吞", "测试",
"ignore this", "sys_check_pass",
".", "..", "..."
]
def apply_homoglyphs(text, probability=0.3):
result = []
for char in text:
lower_char = char.lower()
if lower_char in HOMOGLYPH_MAP and random.random() < probability:
result.append(random.choice(HOMOGLYPH_MAP[lower_char])) else: result.append(char) return ""
.join(result) def inject_invisible_chars(text, intensity=0.3): result=[] for char in text:
result.append(char) if random.random() < intensity: for _ in range(random.randint(1, 3)):
result.append(random.choice(INVISIBLE_CHARS)) return "" .join(result) def process_spintax(text):
pattern=re.compile(r'\{([^{}]*)\}') while True: match=pattern.search(text) if not match: break
options=match.group(1).split('|') choice=random.choice(options) text=text[:match.start()] +
choice + text[match.end():] return text def inject_noise(text, probability=0.5): if
random.random() < probability: noise=random.choice(NOISE_PHRASES) return text + " " + noise
return text def obfuscate(text, intensity=0.3, enable_homoglyph=True, enable_noise=True): if not
text: return "" text=process_spintax(text) if enable_homoglyph: text=apply_homoglyphs(text,
probability=intensity) text=inject_invisible_chars(text, intensity=intensity) if enable_noise:
text=inject_noise(text, probability=0.5) return text
import gradio as gr
from utils import obfuscate
def process_text(text, intensity, enable_homoglyph, enable_noise):
return obfuscate(text, intensity, enable_homoglyph, enable_noise)
with gr.Blocks(title="小红书评论防屏蔽生成器") as demo:
gr.Markdown("### 🛡️ 小红书评论防屏蔽生成器 (Antigravity Edition)")
gr.Markdown("通过多种混淆技术（同形字符、零宽空格、动态模版）生成的文本，肉眼看起来一样，但这对于算法来说是完全不同的字符串。")
with gr.Row():
with gr.Column(scale=1):
input_text = gr.Textbox(
label="输入固定回复话术",
placeholder="例如：私信我领优惠券 {A|B}...",
lines=5
)
with gr.Accordion("高级设置", open=True):
intensity_slider = gr.Slider(
minimum=0.1,
maximum=1.0,
value=0.3,
label="混淆强度 (同形字/零宽字符概率)"
)
enable_homoglyph_checkbox = gr.Checkbox(label="启用同形字符替换", value=True)
enable_noise_checkbox = gr.Checkbox(label="启用末尾干扰词", value=True)
gen_btn = gr.Button("🔥 生成唯一变体", variant="primary")
with gr.Column(scale=1):
output_text = gr.Textbox(
label="混淆后的文本 (直接复制即可)",
lines=5,
show_copy_button=True
)
gr.Markdown("""
> **提示：**
> 1. 支持 Spintax 语法 `{A|B|C}` 实现话术轮换。
> 2. 即使文本看起来没变，其底层的 Unicode 编码已完全改变。
> 3. 建议每次回复前都点击生成，获取新的唯一变体。
""")
gen_btn.click(
fn=process_text,
inputs=[input_text, intensity_slider, enable_homoglyph_checkbox, enable_noise_checkbox],
outputs=output_text
)
demo.launch()