Filter pandas dataframe rows based on multiple conditions

Question

This is my main dataframe that I want to filter.

    first.seqnames  first.start first.end   first.width first.strand    second.seqnames second.start    second.end  second.width    second.strand
126457  chr1    10590184    10590618    GTTAATTATAGATAAATGGGCTAAAATTGCCTCTTGGTTTTGTAAC...   *   chr1    10730773    10731207    GTTAATTATAGATAAATGGGCTAAAATTGCCTCTTGGTTTTGTAAC...   *
126461  chr1    10590958    10591541    CTTTCTTTTGCATACTTGTAGATTTTTCTTCTACTCTGGTTTAGGA...   *   chr1    10731548    10732131    CTTTCTTTTGCATACTTGTAGATTTTTCTTCTACTCTGGTTTAGGA...   *
126544  chr1    10597414    10597918    ATCATTAGGAGATTATTAAAATTTGGAGTGTGTTGGCTGGCCTCGC...   *   chr1    10738018    10738522    ATCATTAGGAGATTATTAAAATTTGGAGTGTGTTGGCTGGCCTCGC...   *
126576  chr1    10600437    10600904    CTCGTTACCATGAAAGCTTTTTTAGCATTGATTTCATAACAGTCTT...   *   chr1    10741045    10741512    CTCGTTACCATGAAAGCTTTTTTAGCATTGATTTCATAACAGTCTT...   *
131172  chr1    11082133    11082593    TGAATCAGTGGTTTAATCTTCTTTGTTTACATCCCTTATTTCTTAT...   *   chr1    11245253    11245713    TGAATCAGTGGTTTAATCTTCTTTGTTTACATCCCTTATTTCTTAT...   *

This is my conditional dataframe based on which I will filter:

    Chrom   Start   End
0   chr1    10590184    10590618
1   chr1    10590958    10591541
2   chr1    10597414    10597918

I've tried the following logic to filter each row. But it's wrong; it is not comparing each row.

header_frame[header_frame['first.end'].isin(knee_df['End']) & header_frame['first.start'].isin(knee_df['Start'])]

I want only those rows in the 1st dataframe which exist in the 2nd dataframe.